COCO (val) Dataset

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Results

Parameters (M)

Images / Second

Publication Date

task

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Object Detection

Instance Segmentation

metric

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mAP

AP₅₀

AP₇₅

mAP_s

mAP_m

mAP_l

GFLOPs

head

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Mask R-CNN

Cascade Mask R-CNN

RetinaNet

DINO

HTC++

HTC

FCOS

Faster R-CNN

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Results

Parameters (M)

Images / Second

GFLOPs

Publication Date

Filters

pretrain dataset

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ImageNet-1k

ImageNet-22k

JFT-300M

JFT-3B

MegData73M

pretrain method

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Supervised

Sup. + TL

FCMAE

MAE

MAP

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Family

Pretrain Dataset

Pretrain Method

Instance Head

Instance Training Epochs

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Pretrain Dataset

Pretrain Method

Instance Head

Instance Training Epochs

family	model	params (m)	pretrain	head	train	GFLOPs	mAP
UniConvNet	UniConvNet-N0	10.2	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	18.8	42.8
Mamba-Adaptor	Mamba-Adaptor-b1	7.8	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	218.0	43.2
Mamba-Adaptor	Mamba-Adaptor-b1	7.8	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	218.0	45.1
Iwin Transformer	Iwin-T	30.2	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	268.0	42.2
Iwin Transformer	Iwin-T	30.2	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	268.0	44.7
Iwin Transformer	Iwin-T	30.2	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 12	747.0	47.2
Iwin Transformer	Iwin-T	30.2	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	747.0	49.4
MaxViT	MaxViT-S	69.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	595.0	53.1
MogaNet	MogaNet-T	5.2	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	173.0	41.4
MogaNet	MogaNet-T	5.2	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	192.0	42.6
InternImage	InternImage-XL	335.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 12	1782.0	55.3
InternImage	InternImage-XL	335.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1782.0	56.2
DAT++	DAT-B++	93.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1059.0	54.5
UniConvNet	UniConvNet-P0	5.2	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	16.8	41.1
InceptionMamba	InceptionMamba-T	25.4	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	233.0	46.0
FocalNet	FocalNet-T-SRF	28.4	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	268.0	45.9
FocalNet	FocalNet-T-SRF	28.4	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	268.0	47.6
FocalNet	FocalNet-T-SRF	28.4	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	746.0	51.5
RMT	RMT-S	27.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	262.0	49.0
RMT	RMT-S	27.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	262.0	50.7
RMT	RMT-S	27.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	244.0	47.8
RMT	RMT-S	27.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	741.0	53.2
RepLKNet	RepLKNet-31B	79.0	IN-1k : Sup. : 300	FCOS	COCO (train) : 24	437.0	47.0
RepLKNet	RepLKNet-31B	79.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	965.0	52.2
MA ViT	MA ViT-B	50.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	372.0	51.7
MA ViT	MA ViT-B	50.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	372.0	53.2
MA ViT	MA ViT-B	50.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	851.0	55.5
MA ViT	MA ViT-B	50.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	353.0	49.9
PlainMamba	PlainMamba-L2	25.7	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	542.0	46.0
PlainMamba	PlainMamba-L2	25.7	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	392.0	43.9
MogaNet	MogaNet-L	82.5	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	974.0	53.3
FocalNet	FocalNet-S-SRF	50.3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	356.0	48.0
FocalNet	FocalNet-S-SRF	50.3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	356.0	48.9
FocalNet	FocalNet-T-LRF	28.6	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	268.0	46.1
FocalNet	FocalNet-T-LRF	28.6	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	268.0	48.0
FocalNet	FocalNet-T-LRF	28.6	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	751.0	51.5
VSSD	VSSD-M	14.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	220.0	45.4
VSSD	VSSD-M	14.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	220.0	47.7
UniRepLKNet	UniRepLKNet-T	31.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	749.0	51.8
Mamba-Adaptor	Mamba-Adaptor-b2	32.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	259.0	47.3
Mamba-Adaptor	Mamba-Adaptor-b2	32.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	259.0	49.1
SSViT	SSViT-T	15.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	223.0	47.3
SSViT	SSViT-T	15.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	205.0	45.6
CAFormer	CAFormer-S36	39.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1622.0	53.2
SSViT	SSViT-S	27.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	266.0	51.2
SSViT	SSViT-S	27.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	266.0	49.4
SSViT	SSViT-S	27.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	745.0	53.8
SSViT	SSViT-S	27.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	248.0	47.5
ConvNeXt V2	ConvNeXt V2-B	89.0	IN-1k : FCMAE : 1600	Mask R-CNN	COCO (train) : 36	486.0	52.9
RMT	RMT-B	54.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	373.0	51.1
RMT	RMT-B	54.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	373.0	52.2
RMT	RMT-B	54.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	355.0	49.1
RMT	RMT-B	54.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	852.0	54.5
CSWin	CSWin-S	35.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	342.0	47.9
CSWin	CSWin-S	35.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	342.0	50.0
CSWin	CSWin-S	35.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	820.0	53.7
Swin	Swin-S	50.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	359.0	48.5
Swin	Swin-S	50.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	838.0	51.9
A2Mamba	A2Mamba-S	31.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	283.0	51.5
A2Mamba	A2Mamba-S	31.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	762.0	54.0
UniConvNet	UniConvNet-L	201.8	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 12	1288.0	55.7
UniConvNet	UniConvNet-L	201.8	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1288.0	56.6
Swin	Swin-B	88.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	982.0	51.9
Swin	Swin-B	88.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 50	700.0	50.1
Swin	Swin-B	88.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 50	982.0	52.7
MambaOut	MambaOut-T	26.5	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	262.0	45.1
EfficientVMamba	EfficientVMamba-B	33.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	252.0	43.7
EfficientVMamba	EfficientVMamba-B	33.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	252.0	45.0
MambaOut	MambaOut-S	48.5	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	354.0	47.4
InternImage	InternImage-B	97.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	501.0	48.8
InternImage	InternImage-B	97.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	501.0	50.3
TransNeXt	TransNeXt-S	49.7	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	516.0	51.1
ConvNeXt	ConvNeXt-L	198.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1354.0	54.8
ConvNeXt	ConvNeXt-S	50.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	827.0	51.9
Swin	Swin-B	88.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	982.0	53.0
Swin	Swin-B	88.0	IN-22k : Sup. : 90	Mask R-CNN	COCO (train) : 50	700.0	51.4
Swin	Swin-B	88.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 50	982.0	54.0
Swin	Swin-B	88.0	IN-22k : Sup. : 90	HTC++	COCO (train) : 72	1043.0	56.4
A2Mamba	A2Mamba-B	51.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	410.0	52.7
A2Mamba	A2Mamba-B	51.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	889.0	55.4
S2AFormer	S2AFormer-M	24.87	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	234.0	41.7
S2AFormer	S2AFormer-M	24.87	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	253.0	42.6
Iwin Transformer	Iwin-S	51.6	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	358.0	43.7
Iwin Transformer	Iwin-S	51.6	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	358.0	45.5
Iwin Transformer	Iwin-S	51.6	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	837.0	49.4
Hiera	Hiera-L	214.0	IN-1k : MAE : 1600	Mask R-CNN	COCO (train) : 100	1200.0	55.0
FractalMamba++	FractalMamba++ (M)	11.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	199.0	44.1
FractalMamba++	FractalMamba++ (M)	11.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	199.0	46.8
NAT	NAT-B	90.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	931.0	52.5
UniConvNet	UniConvNet-N3	19.7	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	239.0	47.0
UniConvNet	UniConvNet-N3	19.7	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	239.0	49.4
VSSD	VSSD-S	40.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	325.0	48.4
Swin	Swin-L	197.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1382.0	53.9
Swin	Swin-L	197.0	IN-22k : Sup. : 90	Mask R-CNN	COCO (train) : 50	1100.0	52.4
Swin	Swin-L	197.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 50	1382.0	54.8
Swin	Swin-L	197.0	IN-22k : Sup. : 90	HTC++	COCO (train) : 72	1470.0	57.1
ConvNeXt	ConvNeXt-T	29.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	741.0	50.4
ConvNeXt	ConvNeXt-T	29.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	262.0	46.2
VMamba	VMamba-S	50.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	349.0	48.7
VMamba	VMamba-S	50.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	349.0	49.9
S2AFormer	S2AFormer-S	10.69	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	178.0	40.0
S2AFormer	S2AFormer-S	10.69	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	197.0	41.0
EfficientVMamba	EfficientVMamba-T	6.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	60.0	35.6
EfficientVMamba	EfficientVMamba-T	6.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	60.0	38.3
LocalVim	LocalVim-T	8.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 200	403.0	45.3
NAT	NAT-M	20.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	225.0	46.5
NAT	NAT-M	20.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	704.0	50.3
ConvNeXt	ConvNeXt-B	89.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	964.0	52.7
DAT	DAT-S	50.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	359.0	45.7
DAT	DAT-S	50.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 36	359.0	47.9
DAT	DAT-S	50.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	378.0	47.1
DAT	DAT-S	50.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	378.0	49.0
DAT	DAT-S	50.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	857.0	52.7
DAMamba	DAMamba-T	26.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	284.0	48.5
DAMamba	DAMamba-T	26.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	284.0	50.4
VMINet	VMINet-XS	7.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	189.0	38.9
SSViT	SSViT-L	100.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	572.0	51.6
SSViT	SSViT-L	100.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	553.0	50.0
DAT++	DAT-T++	24.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	283.0	46.8
DAT++	DAT-T++	24.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 36	283.0	49.2
DAT++	DAT-T++	24.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	301.0	48.7
DAT++	DAT-T++	24.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	301.0	50.5
DAT++	DAT-T++	24.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 12	771.0	52.2
DAT++	DAT-T++	24.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	771.0	53.0
RMT	RMT-L	95.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	557.0	51.6
RMT	RMT-L	95.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	537.0	49.4
UniNeXt	UniNeXt-T	24.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	266.0	48.6
DAT	DAT-T	29.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	253.0	42.8
DAT	DAT-T	29.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 36	253.0	45.6
DAT	DAT-T	29.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	272.0	44.4
DAT	DAT-T	29.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	272.0	47.1
DAT	DAT-T	29.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 12	750.0	49.1
DAT	DAT-T	29.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	750.0	51.3
Swin	Swin-T	29.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	267.0	46.0
Swin	Swin-T	29.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	745.0	50.4
EfficientVMamba	EfficientVMamba-S	11.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	197.0	39.3
EfficientVMamba	EfficientVMamba-S	11.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	197.0	41.6
RepLKNet	RepLKNet-31B	79.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	965.0	53.0
CAFormer	CAFormer-S18	26.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	508.0	48.6
CAFormer	CAFormer-S18	26.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1466.0	52.3
NAT	NAT-T	28.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	258.0	47.7
NAT	NAT-T	28.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	737.0	51.4
RepLKNet	RepLKNet-31L	172.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1321.0	53.9
FocalNet	FocalNet-B-LRF	88.7	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	507.0	49.0
FocalNet	FocalNet-B-LRF	88.7	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	507.0	49.8
InceptionMamba	InceptionMamba-S	46.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	301.0	47.5
UniConvNet	UniConvNet-A	3.4	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	16.3	40.0
DAMamba	DAMamba-S	45.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	395.0	49.8
DAMamba	DAMamba-S	45.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	395.0	51.2
InternImage	InternImage-S	50.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	340.0	47.8
InternImage	InternImage-S	50.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	340.0	49.7
UniNeXt	UniNeXt-B	91.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	460.0	49.3
UniRepLKNet	UniRepLKNet-B	97.9	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	978.0	54.8
UniRepLKNet	UniRepLKNet-XL	386.4	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1952.0	56.4
MogaNet	MogaNet-XT	3.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	167.0	39.7
MogaNet	MogaNet-XT	3.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	185.0	40.7
S2AFormer	S2AFormer-mini	5.02	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	159.0	33.4
S2AFormer	S2AFormer-mini	5.02	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	177.0	33.4
MogaNet	MogaNet-B	43.8	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	373.0	47.9
MogaNet	MogaNet-B	43.8	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	851.0	52.6
ConvNeXt	ConvNeXt-B	89.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	964.0	54.0
UniConvNet	UniConvNet-T	30.3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	265.0	48.2
UniConvNet	UniConvNet-T	30.3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	265.0	50.1
UniConvNet	UniConvNet-N2	15.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	20.7	45.5
UniConvNet	UniConvNet-N2	15.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	220.0	46.6
UniConvNet	UniConvNet-N2	15.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	220.0	48.4
MA ViT	MA ViT-S	27.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	262.0	50.2
MA ViT	MA ViT-S	27.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	262.0	51.4
MA ViT	MA ViT-S	27.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	741.0	54.2
MA ViT	MA ViT-S	27.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	244.0	48.3
ConvFormer	ConvFormer-M36	57.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1824.0	53.0
UniConvNet	UniConvNet-B	97.6	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	498.0	50.0
UniConvNet	UniConvNet-B	97.6	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	498.0	51.2
PlainMamba	PlainMamba-L3	50.5	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	696.0	46.8
PlainMamba	PlainMamba-L3	50.5	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	478.0	44.8
LocalVMamba	LocalVMamba-S	50.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	414.0	48.4
LocalVMamba	LocalVMamba-S	50.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	414.0	49.9
CAFormer	CAFormer-M36	56.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1840.0	53.8
ConvNeXt	ConvNeXt-XL	350.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1898.0	55.2
TransNeXt	TransNeXt-T	28.2	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	356.0	49.9
TransNeXt	TransNeXt-B	89.7	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	728.0	51.7
FractalMamba++	FractalMamba++ (T)	30.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	260.0	47.8
FractalMamba++	FractalMamba++ (T)	30.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	260.0	49.5
VMamba	VMamba-T	30.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	271.0	47.3
VMamba	VMamba-T	30.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	271.0	48.8
FocalNet	FocalNet-B-SRF	88.1	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	496.0	48.8
FocalNet	FocalNet-B-SRF	88.1	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	496.0	49.6
RMT	RMT-T	14.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	218.0	47.1
RMT	RMT-T	14.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	199.0	45.1
ConvFormer	ConvFormer-S18	27.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	502.0	47.7
ConvFormer	ConvFormer-S18	27.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1458.0	51.5
ConvNeXt V2	ConvNeXt V2-H	660.0	IN-1k : FCMAE : 1600	Mask R-CNN	COCO (train) : 36	2525.0	55.7
Hiera	Hiera-B+	70.0	IN-1k : MAE : 1600	Mask R-CNN	COCO (train) : 100	600.0	53.5
MaxViT	MaxViT-B	120.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	856.0	53.4
UniRepLKNet	UniRepLKNet-S	55.6	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	835.0	54.3
MaxViT	MaxViT-T	31.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	475.0	52.1
NAT	NAT-S	51.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	330.0	48.4
NAT	NAT-S	51.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	809.0	52.0
PlainMamba	PlainMamba-L1	7.3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	388.0	44.1
PlainMamba	PlainMamba-L1	7.3	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	250.0	41.7
ConvFormer	ConvFormer-S36	40.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1610.0	52.5
InternImage	InternImage-L	223.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 12	1399.0	54.9
InternImage	InternImage-L	223.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1399.0	56.1
UniNeXt	UniNeXt-S	51.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	333.0	49.0
MambaOut	MambaOut-B	84.8	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	495.0	47.4
VSSD	VSSD-T	24.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	265.0	46.9
VSSD	VSSD-T	24.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	265.0	48.8
FocalNet	FocalNet-S-LRF	50.3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	365.0	48.3
FocalNet	FocalNet-S-LRF	50.3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	365.0	49.3
MogaNet	MogaNet-S	25.3	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	253.0	45.8
MogaNet	MogaNet-S	25.3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	272.0	46.7
MogaNet	MogaNet-S	25.3	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	750.0	51.6
DAT	DAT-B	88.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1003.0	53.0
MogaNet	MogaNet-XL	180.8	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1355.0	56.2
DAMamba	DAMamba-B	86.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	520.0	50.6
DAMamba	DAMamba-B	86.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	520.0	51.4
UniRepLKNet	UniRepLKNet-L	218.3	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1385.0	55.8
CSWin	CSWin-T	23.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	279.0	46.7
CSWin	CSWin-T	23.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	279.0	49.0
CSWin	CSWin-T	23.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	757.0	52.5
Hiera	Hiera-B	52.0	IN-1k : MAE : 1600	Mask R-CNN	COCO (train) : 100	600.0	52.2
VMINet	VMINet-B	28.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	276.0	44.5
UniConvNet	UniConvNet-S	50.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	336.0	48.8
UniConvNet	UniConvNet-S	50.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	336.0	50.8
S2AFormer	S2AFormer-XS	6.54	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	166.0	37.9
S2AFormer	S2AFormer-XS	6.54	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	185.0	38.4
UniRepLKNet	UniRepLKNet-S	55.6	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	835.0	53.0
VMINet	VMINet-S	13.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	201.0	43.2
MA ViT	MA ViT-L	98.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	501.0	52.5
MA ViT	MA ViT-L	98.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	501.0	53.6
MA ViT	MA ViT-L	98.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	979.0	56.0
MA ViT	MA ViT-L	98.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	482.0	50.6
A2Mamba	A2Mamba-L	95.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	552.0	53.0
A2Mamba	A2Mamba-L	95.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1027.0	55.6
ConvNeXt V2	ConvNeXt V2-L	198.0	IN-1k : FCMAE : 1600	Mask R-CNN	COCO (train) : 36	875.0	54.4
SSViT	SSViT-B	57.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	382.0	52.6
SSViT	SSViT-B	57.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	382.0	51.0
SSViT	SSViT-B	57.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	861.0	54.9
SSViT	SSViT-B	57.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	363.0	49.0
DAT++	DAT-S++	53.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	410.0	48.3
DAT++	DAT-S++	53.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 36	410.0	50.2
DAT++	DAT-S++	53.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	430.0	49.8
DAT++	DAT-S++	53.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	430.0	51.2
DAT++	DAT-S++	53.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	895.0	54.2
GroupMamba	GroupMamba-T	23.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	279.0	47.6
MA ViT	MA ViT-T	16.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	219.0	47.6
MA ViT	MA ViT-T	16.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	201.0	45.6
VMamba	VMamba-B	89.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	485.0	49.2
UniConvNet	UniConvNet-N1	13.1	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	19.4	44.6
LocalVMamba	LocalVMamba-T	26.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	291.0	46.7
LocalVMamba	LocalVMamba-T	26.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	291.0	48.7
CSWin	CSWin-B	78.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	526.0	48.7
CSWin	CSWin-B	78.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	526.0	50.8
CSWin	CSWin-B	78.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1004.0	53.9
InternImage	InternImage-T	30.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	270.0	47.2
InternImage	InternImage-T	30.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	270.0	49.1
InceptionMamba	InceptionMamba-B	83.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	421.0	48.1
RepLKNet	RepLKNet-XL	335.0	MegData73M : Sup. : 15	Cascade Mask R-CNN	COCO (train) : 36	1958.0	55.5
S2AFormer	S2AFormer-T	5.8	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	164.0	36.7
S2AFormer	S2AFormer-T	5.8	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	182.0	37.6
UniConvNet	UniConvNet-P2	7.6	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	16.8	42.2

family	model	pretrain	head	train	gflops	mAP^b	AP^b₅₀	AP^b₇₅	mAP^b_s	mAP^b_m	mAP^b_l
TransNeXt	TransNeXt-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	356.0	49.9	71.5	54.9	—	—	—
TransNeXt	TransNeXt-T	IN-1k : Sup. : 300	DINO	COCO (train) : 12	None	55.7	—	—	—	—	—
TransNeXt	TransNeXt-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	516.0	51.1	72.6	56.2	—	—	—
TransNeXt	TransNeXt-S	IN-1k : Sup. : 300	DINO	COCO (train) : 12	None	56.6	—	—	—	—	—
TransNeXt	TransNeXt-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	728.0	51.7	73.2	56.9	—	—	—
TransNeXt	TransNeXt-B	IN-1k : Sup. : 300	DINO	COCO (train) : 12	None	57.1	—	—	—	—	—
ConvNeXt	ConvNeXt-L	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1354.0	54.8	73.8	59.8	—	—	—
ConvNeXt	ConvNeXt-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	964.0	52.7	71.3	57.2	—	—	—
ConvNeXt	ConvNeXt-B	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	964.0	54.0	73.1	58.8	—	—	—
ConvNeXt	ConvNeXt-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	827.0	51.9	70.8	56.5	—	—	—
ConvNeXt	ConvNeXt-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	741.0	50.4	69.1	54.8	—	—	—
ConvNeXt	ConvNeXt-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	262.0	46.2	67.9	50.8	—	—	—
ConvNeXt	ConvNeXt-XL	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1898.0	55.2	74.2	59.9	—	—	—
Swin	Swin-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	267.0	46.0	68.1	50.3	—	—	—
Swin	Swin-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	745.0	50.4	69.2	54.7	—	—	—
Swin	Swin-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	982.0	51.9	70.5	56.4	—	—	—
Swin	Swin-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 50	700.0	50.1	—	—	—	—	—
Swin	Swin-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 50	982.0	52.7	—	—	—	—	—
Swin	Swin-B	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	982.0	53.0	71.8	57.5	—	—	—
Swin	Swin-B	IN-22k : Sup. : 90	Mask R-CNN	COCO (train) : 50	700.0	51.4	—	—	—	—	—
Swin	Swin-B	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 50	982.0	54.0	—	—	—	—	—
Swin	Swin-B	IN-22k : Sup. : 90	HTC++	COCO (train) : 72	1043.0	56.4	—	—	—	—	—
Swin	Swin-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	359.0	48.5	—	—	—	—	—
Swin	Swin-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	838.0	51.9	70.7	56.3	—	—	—
Swin	Swin-L	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1382.0	53.9	72.4	58.8	—	—	—
Swin	Swin-L	IN-22k : Sup. : 90	Mask R-CNN	COCO (train) : 50	1100.0	52.4	—	—	—	—	—
Swin	Swin-L	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 50	1382.0	54.8	—	—	—	—	—
Swin	Swin-L	IN-22k : Sup. : 90	HTC++	COCO (train) : 72	1470.0	57.1	—	—	—	—	—
ConvNeXt V2	ConvNeXt V2-H	IN-1k : FCMAE : 1600	Mask R-CNN	COCO (train) : 36	2525.0	55.7	75.2	61.8	—	—	—
ConvNeXt V2	ConvNeXt V2-L	IN-1k : FCMAE : 1600	Mask R-CNN	COCO (train) : 36	875.0	54.4	73.9	60.4	—	—	—
ConvNeXt V2	ConvNeXt V2-B	IN-1k : FCMAE : 1600	Mask R-CNN	COCO (train) : 36	486.0	52.9	72.6	58.9	—	—	—
Hiera	Hiera-B	IN-1k : MAE : 1600	Mask R-CNN	COCO (train) : 100	600.0	52.2	—	—	—	—	—
Hiera	Hiera-B+	IN-1k : MAE : 1600	Mask R-CNN	COCO (train) : 100	600.0	53.5	—	—	—	—	—
Hiera	Hiera-L	IN-1k : MAE : 1600	Mask R-CNN	COCO (train) : 100	1200.0	55.0	—	—	—	—	—
InternImage	InternImage-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	270.0	47.2	69.0	52.1	—	—	—
InternImage	InternImage-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	270.0	49.1	70.4	54.1	—	—	—
InternImage	InternImage-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	340.0	47.8	69.8	52.8	—	—	—
InternImage	InternImage-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	340.0	49.7	71.1	54.5	—	—	—
InternImage	InternImage-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	501.0	48.8	70.9	54.0	—	—	—
InternImage	InternImage-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	501.0	50.3	71.4	55.3	—	—	—
InternImage	InternImage-L	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 12	1399.0	54.9	74.0	59.8	—	—	—
InternImage	InternImage-L	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1399.0	56.1	74.8	60.7	—	—	—
InternImage	InternImage-XL	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 12	1782.0	55.3	74.4	60.1	—	—	—
InternImage	InternImage-XL	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1782.0	56.2	75.0	61.2	—	—	—
FocalNet	FocalNet-T-LRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	268.0	46.1	68.2	50.6	—	—	—
FocalNet	FocalNet-T-LRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	268.0	48.0	69.7	53.0	—	—	—
FocalNet	FocalNet-T-LRF	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	751.0	51.5	70.3	56.0	—	—	—
FocalNet	FocalNet-T-SRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	268.0	45.9	68.3	50.1	—	—	—
FocalNet	FocalNet-T-SRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	268.0	47.6	69.5	52.0	—	—	—
FocalNet	FocalNet-T-SRF	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	746.0	51.5	70.1	55.8	—	—	—
FocalNet	FocalNet-S-SRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	356.0	48.0	69.9	52.7	—	—	—
FocalNet	FocalNet-S-SRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	356.0	48.9	70.1	53.7	—	—	—
FocalNet	FocalNet-S-LRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	365.0	48.3	70.5	53.1	—	—	—
FocalNet	FocalNet-S-LRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	365.0	49.3	70.7	54.2	—	—	—
FocalNet	FocalNet-B-LRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	507.0	49.0	70.9	53.9	—	—	—
FocalNet	FocalNet-B-LRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	507.0	49.8	70.9	54.6	—	—	—
FocalNet	FocalNet-B-SRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	496.0	48.8	70.7	53.5	—	—	—
FocalNet	FocalNet-B-SRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	496.0	49.6	70.6	54.1	—	—	—
CSWin	CSWin-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	279.0	46.7	68.6	51.3	—	—	—
CSWin	CSWin-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	279.0	49.0	70.7	53.7	—	—	—
CSWin	CSWin-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	757.0	52.5	71.5	57.1	—	—	—
CSWin	CSWin-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	342.0	47.9	70.1	52.6	—	—	—
CSWin	CSWin-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	342.0	50.0	71.3	54.7	—	—	—
CSWin	CSWin-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	820.0	53.7	72.2	58.4	—	—	—
CSWin	CSWin-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	526.0	48.7	70.4	53.9	—	—	—
CSWin	CSWin-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	526.0	50.8	72.1	55.8	—	—	—
CSWin	CSWin-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1004.0	53.9	72.6	58.5	—	—	—
CAFormer	CAFormer-S18	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	508.0	48.6	70.5	53.4	—	—	—
CAFormer	CAFormer-S18	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1466.0	52.3	71.3	56.9	—	—	—
CAFormer	CAFormer-S36	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1622.0	53.2	72.1	57.7	—	—	—
CAFormer	CAFormer-M36	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1840.0	53.8	72.5	58.3	—	—	—
ConvFormer	ConvFormer-S18	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	502.0	47.7	69.6	52.3	—	—	—
ConvFormer	ConvFormer-S18	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1458.0	51.5	70.7	55.8	—	—	—
ConvFormer	ConvFormer-S36	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1610.0	52.5	71.1	57.0	—	—	—
ConvFormer	ConvFormer-M36	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1824.0	53.0	71.4	57.4	—	—	—
MaxViT	MaxViT-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	475.0	52.1	71.9	56.8	—	—	—
MaxViT	MaxViT-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	595.0	53.1	72.5	58.1	—	—	—
MaxViT	MaxViT-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	856.0	53.4	72.9	58.1	—	—	—
MogaNet	MogaNet-XT	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	167.0	39.7	60.0	42.4	23.8	43.6	51.7
MogaNet	MogaNet-XT	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	185.0	40.7	62.3	44.4	—	—	—
MogaNet	MogaNet-T	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	173.0	41.4	61.5	44.4	25.1	45.7	53.6
MogaNet	MogaNet-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	192.0	42.6	64.0	46.4	—	—	—
MogaNet	MogaNet-S	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	253.0	45.8	66.6	49.0	29.1	50.1	59.8
MogaNet	MogaNet-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	272.0	46.7	68.0	51.3	—	—	—
MogaNet	MogaNet-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	750.0	51.6	70.8	56.3	—	—	—
MogaNet	MogaNet-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	373.0	47.9	70.0	52.7	—	—	—
MogaNet	MogaNet-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	851.0	52.6	72.0	57.3	—	—	—
MogaNet	MogaNet-L	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	974.0	53.3	71.8	57.8	—	—	—
MogaNet	MogaNet-XL	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1355.0	56.2	75.0	61.2	—	—	—
VMamba	VMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	271.0	47.3	69.3	52.0	—	—	—
VMamba	VMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	271.0	48.8	70.4	53.5	—	—	—
VMamba	VMamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	349.0	48.7	70.0	53.4	—	—	—
VMamba	VMamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	349.0	49.9	70.9	54.7	—	—	—
VMamba	VMamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	485.0	49.2	71.4	54.0	—	—	—
UniRepLKNet	UniRepLKNet-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	749.0	51.8	—	—	—	—	—
UniRepLKNet	UniRepLKNet-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	835.0	53.0	—	—	—	—	—
UniRepLKNet	UniRepLKNet-S	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	835.0	54.3	—	—	—	—	—
UniRepLKNet	UniRepLKNet-B	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	978.0	54.8	—	—	—	—	—
UniRepLKNet	UniRepLKNet-L	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1385.0	55.8	—	—	—	—	—
UniRepLKNet	UniRepLKNet-XL	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1952.0	56.4	—	—	—	—	—
SLaK	SLaK-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	None	51.3	70.0	55.7	—	—	—
RepLKNet	RepLKNet-31B	IN-1k : Sup. : 300	FCOS	COCO (train) : 24	437.0	47.0	—	—	—	—	—
RepLKNet	RepLKNet-31B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	965.0	52.2	—	—	—	—	—
RepLKNet	RepLKNet-31B	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	965.0	53.0	—	—	—	—	—
RepLKNet	RepLKNet-31L	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1321.0	53.9	—	—	—	—	—
RepLKNet	RepLKNet-XL	MegData73M : Sup. : 15	Cascade Mask R-CNN	COCO (train) : 36	1958.0	55.5	—	—	—	—	—
BiFormer	BiFormer-S	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	None	45.9	66.9	49.4	30.2	49.6	61.7
BiFormer	BiFormer-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	47.8	69.8	52.3	—	—	—
BiFormer	BiFormer-B	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	None	47.1	68.5	50.4	31.3	50.8	62.6
BiFormer	BiFormer-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	48.6	70.5	53.8	—	—	—
MambaOut	MambaOut-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	262.0	45.1	67.3	49.6	—	—	—
MambaOut	MambaOut-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	354.0	47.4	69.1	52.4	—	—	—
MambaOut	MambaOut-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	495.0	47.4	69.3	52.2	—	—	—
GroupMamba	GroupMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	279.0	47.6	69.8	52.1	—	—	—
Vim	Vim-Ti	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 200	None	45.7	63.9	49.6	26.1	49.0	63.2
PlainMamba	PlainMamba-L1	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	388.0	44.1	64.8	47.9	—	—	—
PlainMamba	PlainMamba-L1	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	250.0	41.7	62.1	44.4	—	—	—
PlainMamba	PlainMamba-L2	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	542.0	46.0	66.9	50.1	—	—	—
PlainMamba	PlainMamba-L2	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	392.0	43.9	64.9	47.0	—	—	—
PlainMamba	PlainMamba-L3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	696.0	46.8	68.0	51.1	—	—	—
PlainMamba	PlainMamba-L3	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	478.0	44.8	66.0	47.9	—	—	—
LocalVim	LocalVim-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 200	403.0	45.3	66.2	49.1	26.0	49.5	61.7
LocalVMamba	LocalVMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	291.0	46.7	68.7	50.8	—	—	—
LocalVMamba	LocalVMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	291.0	48.7	70.1	53.0	—	—	—
LocalVMamba	LocalVMamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	414.0	48.4	69.9	52.7	—	—	—
LocalVMamba	LocalVMamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	414.0	49.9	70.5	54.4	—	—	—
EfficientVMamba	EfficientVMamba-T	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	None	37.5	57.8	39.6	22.6	40.7	49.1
EfficientVMamba	EfficientVMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	60.0	35.6	57.7	38.0	—	—	—
EfficientVMamba	EfficientVMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	60.0	38.3	60.3	41.6	—	—	—
EfficientVMamba	EfficientVMamba-S	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	None	39.1	60.3	41.2	23.9	43.0	51.3
EfficientVMamba	EfficientVMamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	197.0	39.3	61.8	42.6	—	—	—
EfficientVMamba	EfficientVMamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	197.0	41.6	63.9	45.6	—	—	—
EfficientVMamba	EfficientVMamba-B	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	None	42.8	63.9	45.8	27.3	46.9	55.1
EfficientVMamba	EfficientVMamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	252.0	43.7	66.2	47.9	—	—	—
EfficientVMamba	EfficientVMamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	252.0	45.0	66.9	49.2	—	—	—
DAMamba	DAMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	284.0	48.5	70.3	53.3	—	—	—
DAMamba	DAMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	284.0	50.4	71.4	55.5	—	—	—
DAMamba	DAMamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	395.0	49.8	71.2	54.7	—	—	—
DAMamba	DAMamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	395.0	51.2	72.1	56.1	—	—	—
DAMamba	DAMamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	520.0	50.6	71.9	55.5	—	—	—
DAMamba	DAMamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	520.0	51.4	72.3	56.4	—	—	—
VSSD	VSSD-M	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	220.0	45.4	67.5	49.8	—	—	—
VSSD	VSSD-M	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	220.0	47.7	69.7	52.1	—	—	—
VSSD	VSSD-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	265.0	46.9	69.4	51.4	—	—	—
VSSD	VSSD-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	265.0	48.8	70.4	53.4	—	—	—
VSSD	VSSD-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	325.0	48.4	70.1	53.1	—	—	—
RMT	RMT-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	218.0	47.1	68.8	51.7	—	—	—
RMT	RMT-T	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	199.0	45.1	66.2	48.1	28.8	48.9	61.1
RMT	RMT-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	262.0	49.0	70.8	53.9	—	—	—
RMT	RMT-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	262.0	50.7	71.9	55.6	—	—	—
RMT	RMT-S	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	244.0	47.8	69.1	51.8	32.1	51.8	63.5
RMT	RMT-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	741.0	53.2	72.0	57.8	—	—	—
RMT	RMT-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	373.0	51.1	72.5	56.1	—	—	—
RMT	RMT-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	373.0	52.2	72.9	57.0	—	—	—
RMT	RMT-B	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	355.0	49.1	70.3	53.0	32.9	53.2	64.2
RMT	RMT-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	852.0	54.5	72.8	59.0	—	—	—
RMT	RMT-L	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	557.0	51.6	73.1	56.5	—	—	—
RMT	RMT-L	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	537.0	49.4	70.6	53.1	34.2	53.9	65.2
DAT++	DAT-T++	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	283.0	46.8	68.4	50.3	30.8	51.9	62.5
DAT++	DAT-T++	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 36	283.0	49.2	70.3	53.0	32.7	53.4	64.7
DAT++	DAT-T++	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	301.0	48.7	70.9	53.7	32.8	52.4	63.5
DAT++	DAT-T++	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	301.0	50.5	71.9	55.7	35.0	54.3	65.3
DAT++	DAT-T++	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 12	771.0	52.2	70.9	56.6	33.9	56.2	68.1
DAT++	DAT-T++	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	771.0	53.0	71.6	57.7	37.1	56.6	68.6
DAT++	DAT-S++	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	410.0	48.3	70.0	51.8	32.3	52.4	63.1
DAT++	DAT-S++	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 36	410.0	50.2	71.5	54.0	34.7	54.6	65.3
DAT++	DAT-S++	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	430.0	49.8	71.9	54.6	33.8	53.9	64.4
DAT++	DAT-S++	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	430.0	51.2	72.6	56.3	35.8	55.4	65.6
DAT++	DAT-S++	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	895.0	54.2	72.7	58.9	38.0	58.3	69.7
DAT++	DAT-B++	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1059.0	54.5	73.0	59.4	38.5	58.4	69.8
FAN	FAN-T-Hybrid	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	None	45.8	—	—	—	—	—
FAN	FAN-T-Hybrid	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	None	50.2	—	—	—	—	—
FAN	FAN-S-Hybrid	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	None	49.1	—	—	—	—	—
FAN	FAN-S-Hybrid	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	None	53.3	—	—	—	—	—
FAN	FAN-S-Hybrid	IN-1k : Sup. + TL : 350	Cascade Mask R-CNN	COCO (train) : 36	None	53.4	—	—	—	—	—
FAN	FAN-B-Hybrid	IN-1k : Sup. + TL : 350	Cascade Mask R-CNN	COCO (train) : 36	None	53.9	—	—	—	—	—
FAN	FAN-L-Hybrid	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	None	54.1	—	—	—	—	—
FAN	FAN-L-Hybrid	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	None	55.1	—	—	—	—	—
FAN	FAN-L-Hybrid	IN-1k : Sup. + TL : 350	Cascade Mask R-CNN	COCO (train) : 36	None	54.1	—	—	—	—	—
DAT	DAT-T	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	253.0	42.8	64.4	45.2	28.0	45.8	57.8
DAT	DAT-T	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 36	253.0	45.6	67.2	48.5	31.3	49.1	60.8
DAT	DAT-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	272.0	44.4	67.6	48.5	28.3	47.5	58.5
DAT	DAT-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	272.0	47.1	69.2	51.6	32.0	50.3	61.0
DAT	DAT-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 12	750.0	49.1	68.2	52.9	31.2	52.4	65.1
DAT	DAT-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	750.0	51.3	70.1	55.8	34.1	54.6	66.9
DAT	DAT-S	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	359.0	45.7	67.7	48.5	30.5	49.3	61.3
DAT	DAT-S	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 36	359.0	47.9	69.6	51.2	32.3	51.8	63.4
DAT	DAT-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	378.0	47.1	69.9	51.5	30.5	50.1	62.1
DAT	DAT-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	378.0	49.0	70.9	53.8	32.7	52.6	64.0
DAT	DAT-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	857.0	52.7	71.7	57.2	37.3	56.3	68.0
DAT	DAT-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1003.0	53.0	71.9	57.6	36.0	56.8	69.1
NAT	NAT-M	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	225.0	46.5	68.1	51.3	—	—	—
NAT	NAT-M	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	704.0	50.3	68.9	54.9	—	—	—
NAT	NAT-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	258.0	47.7	69.0	52.6	—	—	—
NAT	NAT-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	737.0	51.4	70.0	55.9	—	—	—
NAT	NAT-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	330.0	48.4	69.8	53.2	—	—	—
NAT	NAT-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	809.0	52.0	70.4	56.3	—	—	—
NAT	NAT-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	931.0	52.5	71.1	57.1	—	—	—
SSViT	SSViT-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	223.0	47.3	69.1	51.7	—	—	—
SSViT	SSViT-T	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	205.0	45.6	66.5	49.3	28.6	50.1	60.5
SSViT	SSViT-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	266.0	51.2	72.0	56.0	—	—	—
SSViT	SSViT-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	266.0	49.4	70.8	54.1	—	—	—
SSViT	SSViT-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	745.0	53.8	72.4	58.1	—	—	—
SSViT	SSViT-S	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	248.0	47.5	68.6	50.8	30.1	52.2	63.3
SSViT	SSViT-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	382.0	52.6	73.2	57.7	—	—	—
SSViT	SSViT-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	382.0	51.0	72.5	55.8	—	—	—
SSViT	SSViT-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	861.0	54.9	73.7	59.7	—	—	—
SSViT	SSViT-B	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	363.0	49.0	70.2	52.9	32.4	53.4	64.8
SSViT	SSViT-L	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	572.0	51.6	72.9	56.6	—	—	—
SSViT	SSViT-L	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	553.0	50.0	71.4	53.8	33.2	54.6	65.0
Iwin Transformer	Iwin-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	268.0	42.2	65.3	45.8	—	—	—
Iwin Transformer	Iwin-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	268.0	44.7	67.2	48.8	—	—	—
Iwin Transformer	Iwin-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 12	747.0	47.2	66.1	51.3	—	—	—
Iwin Transformer	Iwin-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	747.0	49.4	68.4	53.5	—	—	—
Iwin Transformer	Iwin-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	358.0	43.7	67.0	47.4	—	—	—
Iwin Transformer	Iwin-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	358.0	45.5	67.5	49.6	—	—	—
Iwin Transformer	Iwin-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	837.0	49.4	68.1	53.3	—	—	—
MA ViT	MA ViT-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	219.0	47.6	69.5	52.5	—	—	—
MA ViT	MA ViT-T	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	201.0	45.6	66.7	48.9	28.9	49.7	61.1
MA ViT	MA ViT-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	262.0	50.2	71.7	55.3	—	—	—
MA ViT	MA ViT-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	262.0	51.4	72.6	56.2	—	—	—
MA ViT	MA ViT-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	741.0	54.2	72.6	58.6	—	—	—
MA ViT	MA ViT-S	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	244.0	48.3	69.4	52.2	31.8	52.6	64.0
MA ViT	MA ViT-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	372.0	51.7	73.3	57.0	—	—	—
MA ViT	MA ViT-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	372.0	53.2	74.1	58.5	—	—	—
MA ViT	MA ViT-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	851.0	55.5	74.0	60.4	—	—	—
MA ViT	MA ViT-B	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	353.0	49.9	71.1	53.8	33.7	54.5	65.5
MA ViT	MA ViT-L	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	501.0	52.5	73.6	57.8	—	—	—
MA ViT	MA ViT-L	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	501.0	53.6	74.3	58.7	—	—	—
MA ViT	MA ViT-L	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	979.0	56.0	74.6	60.9	—	—	—
MA ViT	MA ViT-L	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	482.0	50.6	71.7	54.9	34.1	55.3	65.6
UniConvNet	UniConvNet-A	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	16.3	40.0	60.4	42.9	23.3	44.2	53.2
UniConvNet	UniConvNet-P0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	16.8	41.1	61.4	43.9	24.2	45.2	55.2
UniConvNet	UniConvNet-P2	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	16.8	42.2	62.5	45.2	25.1	45.9	56.2
UniConvNet	UniConvNet-N0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	18.8	42.8	63.2	45.7	25.2	47.0	56.8
UniConvNet	UniConvNet-N1	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	19.4	44.6	65.7	47.9	27.9	49.0	59.2
UniConvNet	UniConvNet-N2	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	20.7	45.5	66.4	48.9	28.4	50.2	60.4
UniConvNet	UniConvNet-N2	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	220.0	46.6	68.0	51.3	—	—	—
UniConvNet	UniConvNet-N2	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	220.0	48.4	69.7	53.2	—	—	—
UniConvNet	UniConvNet-N3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	239.0	47.0	68.6	51.8	—	—	—
UniConvNet	UniConvNet-N3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	239.0	49.4	70.7	54.4	—	—	—
UniConvNet	UniConvNet-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	265.0	48.2	69.8	52.9	—	—	—
UniConvNet	UniConvNet-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	265.0	50.1	71.0	54.8	—	—	—
UniConvNet	UniConvNet-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	336.0	48.8	70.4	53.4	—	—	—
UniConvNet	UniConvNet-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	336.0	50.8	71.6	55.6	—	—	—
UniConvNet	UniConvNet-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	498.0	50.0	71.7	55.3	—	—	—
UniConvNet	UniConvNet-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	498.0	51.2	72.2	56.1	—	—	—
UniConvNet	UniConvNet-L	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 12	1288.0	55.7	74.4	60.4	—	—	—
UniConvNet	UniConvNet-L	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1288.0	56.6	75.6	61.8	—	—	—
A2Mamba	A2Mamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	283.0	51.5	—	—	—	—	—
A2Mamba	A2Mamba-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	762.0	54.0	—	—	—	—	—
A2Mamba	A2Mamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	410.0	52.7	—	—	—	—	—
A2Mamba	A2Mamba-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	889.0	55.4	—	—	—	—	—
A2Mamba	A2Mamba-L	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	552.0	53.0	—	—	—	—	—
A2Mamba	A2Mamba-L	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1027.0	55.6	—	—	—	—	—
FractalMamba++	FractalMamba++ (T)	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	260.0	47.8	69.8	52.5	—	—	—
FractalMamba++	FractalMamba++ (T)	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	260.0	49.5	71.0	54.6	—	—	—
FractalMamba++	FractalMamba++ (M)	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	199.0	44.1	66.2	48.0	—	—	—
FractalMamba++	FractalMamba++ (M)	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	199.0	46.8	68.5	51.3	—	—	—
InceptionMamba	InceptionMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	233.0	46.0	—	—	—	—	—
InceptionMamba	InceptionMamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	301.0	47.5	—	—	—	—	—
InceptionMamba	InceptionMamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	421.0	48.1	—	—	—	—	—
CoCA ViT	CoCA ViT-21M	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	None	51.8	70.5	56.1	—	—	—
CoCA ViT	CoCA ViT-28M	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	None	52.2	71.0	56.8	—	—	—
HybridNet	HybridNet-T	IN-1k : MAP : 1600	Cascade Mask R-CNN	COCO (train) : 36	None	46.4	—	—	—	—	—
S2AFormer	S2AFormer-mini	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	159.0	33.4	53.2	34.9	19.9	36.3	44.5
S2AFormer	S2AFormer-mini	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	177.0	33.4	55.4	35.2	—	—	—
S2AFormer	S2AFormer-T	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	164.0	36.7	57.0	39.1	21.1	39.7	48.6
S2AFormer	S2AFormer-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	182.0	37.6	59.8	40.6	—	—	—
S2AFormer	S2AFormer-XS	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	166.0	37.9	58.6	40.3	22.9	41.5	49.8
S2AFormer	S2AFormer-XS	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	185.0	38.4	60.2	41.5	—	—	—
S2AFormer	S2AFormer-S	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	178.0	40.0	60.9	42.7	24.4	43.6	52.9
S2AFormer	S2AFormer-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	197.0	41.0	62.5	45.0	—	—	—
S2AFormer	S2AFormer-M	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	234.0	41.7	62.4	44.5	25.8	44.6	55.4
S2AFormer	S2AFormer-M	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	253.0	42.6	64.5	46.9	—	—	—
VMINet	VMINet-XS	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	189.0	38.9	61.9	42.4	—	—	—
VMINet	VMINet-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	201.0	43.2	65.3	47.3	—	—	—
VMINet	VMINet-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	276.0	44.5	66.7	48.6	—	—	—
Mamba-Adaptor	Mamba-Adaptor-b1	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	218.0	43.2	65.5	47.7	—	—	—
Mamba-Adaptor	Mamba-Adaptor-b1	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	218.0	45.1	67.2	49.4	—	—	—
Mamba-Adaptor	Mamba-Adaptor-b2	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	259.0	47.3	69.8	52.3	—	—	—
Mamba-Adaptor	Mamba-Adaptor-b2	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	259.0	49.1	71.5	54.1	—	—	—
UniNeXt	UniNeXt-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	266.0	48.6	70.6	53.4	—	—	—
UniNeXt	UniNeXt-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	333.0	49.0	71.3	54.1	—	—	—
UniNeXt	UniNeXt-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	460.0	49.3	71.4	54.1	—	—	—

family	model	pretrain	head	train	gflops	mAP^m	AP^m₅₀	AP^m₇₅	mAP^m_s	mAP^m_m	mAP^m_l
TransNeXt	TransNeXt-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	356.0	44.6	68.6	48.1	—	—	—
TransNeXt	TransNeXt-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	516.0	45.5	69.8	49.1	—	—	—
TransNeXt	TransNeXt-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	728.0	45.9	70.5	49.7	—	—	—
ConvNeXt	ConvNeXt-L	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1354.0	47.6	71.3	51.7	—	—	—
ConvNeXt	ConvNeXt-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	964.0	45.6	68.9	49.5	—	—	—
ConvNeXt	ConvNeXt-B	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	964.0	46.9	70.6	51.3	—	—	—
ConvNeXt	ConvNeXt-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	827.0	45.0	68.4	49.1	—	—	—
ConvNeXt	ConvNeXt-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	741.0	43.7	66.5	47.3	—	—	—
ConvNeXt	ConvNeXt-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	262.0	41.7	65.0	44.9	—	—	—
ConvNeXt	ConvNeXt-XL	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1898.0	47.7	71.6	52.2	—	—	—
Swin	Swin-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	267.0	41.6	65.1	44.9	—	—	—
Swin	Swin-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	745.0	43.7	66.6	47.3	—	—	—
Swin	Swin-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	982.0	45.0	68.1	48.9	—	—	—
Swin	Swin-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 50	600.0	44.5	—	—	—	—	—
Swin	Swin-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 50	982.0	45.5	—	—	—	—	—
Swin	Swin-B	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	982.0	45.8	69.4	49.7	—	—	—
Swin	Swin-B	IN-22k : Sup. : 90	Mask R-CNN	COCO (train) : 50	700.0	45.4	—	—	—	—	—
Swin	Swin-B	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 50	982.0	46.5	—	—	—	—	—
Swin	Swin-B	IN-22k : Sup. : 90	HTC++	COCO (train) : 72	1043.0	49.1	—	—	—	—	—
Swin	Swin-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	359.0	43.3	—	—	—	—	—
Swin	Swin-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	838.0	45.0	68.2	48.8	—	—	—
Swin	Swin-L	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1382.0	46.7	70.1	50.8	—	—	—
Swin	Swin-L	IN-22k : Sup. : 90	Mask R-CNN	COCO (train) : 50	1100.0	46.2	—	—	—	—	—
Swin	Swin-L	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 50	1382.0	47.3	—	—	—	—	—
Swin	Swin-L	IN-22k : Sup. : 90	HTC++	COCO (train) : 72	1470.0	49.5	—	—	—	—	—
ConvNeXt V2	ConvNeXt V2-H	IN-1k : FCMAE : 1600	Mask R-CNN	COCO (train) : 36	2525.0	48.9	72.8	53.6	—	—	—
ConvNeXt V2	ConvNeXt V2-L	IN-1k : FCMAE : 1600	Mask R-CNN	COCO (train) : 36	875.0	47.7	71.4	52.3	—	—	—
ConvNeXt V2	ConvNeXt V2-B	IN-1k : FCMAE : 1600	Mask R-CNN	COCO (train) : 36	486.0	46.6	70.0	51.1	—	—	—
Hiera	Hiera-B	IN-1k : MAE : 1600	Mask R-CNN	COCO (train) : 100	600.0	46.3	—	—	—	—	—
Hiera	Hiera-B+	IN-1k : MAE : 1600	Mask R-CNN	COCO (train) : 100	600.0	47.3	—	—	—	—	—
Hiera	Hiera-L	IN-1k : MAE : 1600	Mask R-CNN	COCO (train) : 100	1200.0	48.6	—	—	—	—	—
InternImage	InternImage-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	270.0	42.5	66.1	45.8	—	—	—
InternImage	InternImage-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	270.0	43.7	67.3	47.3	—	—	—
InternImage	InternImage-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	340.0	43.3	67.1	46.7	—	—	—
InternImage	InternImage-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	340.0	44.5	68.5	47.8	—	—	—
InternImage	InternImage-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	501.0	44.0	67.8	47.4	—	—	—
InternImage	InternImage-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	501.0	44.8	68.7	48.0	—	—	—
InternImage	InternImage-L	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 12	1399.0	47.7	71.4	52.1	—	—	—
InternImage	InternImage-L	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1399.0	48.5	72.4	53.0	—	—	—
InternImage	InternImage-XL	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1782.0	48.1	71.9	52.4	—	—	—
InternImage	InternImage-XL	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1782.0	48.8	72.5	53.4	—	—	—
FocalNet	FocalNet-T-LRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	268.0	41.5	65.1	44.5	—	—	—
FocalNet	FocalNet-T-LRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	268.0	42.9	66.5	46.1	—	—	—
FocalNet	FocalNet-T-SRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	268.0	41.3	65.0	44.3	—	—	—
FocalNet	FocalNet-T-SRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	268.0	42.6	66.5	45.6	—	—	—
FocalNet	FocalNet-S-SRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	356.0	42.7	67.1	45.7	—	—	—
FocalNet	FocalNet-S-SRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	356.0	43.6	67.1	47.1	—	—	—
FocalNet	FocalNet-S-LRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	365.0	43.1	67.4	46.2	—	—	—
FocalNet	FocalNet-S-LRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	365.0	43.8	67.9	47.4	—	—	—
FocalNet	FocalNet-B-LRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	507.0	43.5	67.9	46.7	—	—	—
FocalNet	FocalNet-B-LRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	507.0	44.1	68.2	47.2	—	—	—
FocalNet	FocalNet-B-SRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	496.0	43.3	67.5	46.5	—	—	—
FocalNet	FocalNet-B-SRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	496.0	44.1	68.0	47.2	—	—	—
CSWin	CSWin-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	279.0	42.2	65.6	45.4	—	—	—
CSWin	CSWin-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	279.0	43.6	67.9	46.6	—	—	—
CSWin	CSWin-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	757.0	45.3	68.8	48.9	—	—	—
CSWin	CSWin-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	342.0	43.2	67.1	46.2	—	—	—
CSWin	CSWin-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	342.0	44.5	68.4	47.7	—	—	—
CSWin	CSWin-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	820.0	46.4	69.6	50.6	—	—	—
CSWin	CSWin-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	526.0	43.9	67.8	47.3	—	—	—
CSWin	CSWin-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	526.0	44.9	69.1	48.3	—	—	—
CSWin	CSWin-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1004.0	46.4	70.0	50.4	—	—	—
CAFormer	CAFormer-S18	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	508.0	43.7	67.5	47.4	—	—	—
CAFormer	CAFormer-S18	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1466.0	45.2	68.6	48.8	—	—	—
CAFormer	CAFormer-S36	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1622.0	46.0	69.5	49.8	—	—	—
CAFormer	CAFormer-M36	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1840.0	46.5	70.1	50.7	—	—	—
ConvFormer	ConvFormer-S18	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	502.0	42.6	66.3	45.9	—	—	—
ConvFormer	ConvFormer-S18	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1458.0	44.6	67.8	48.2	—	—	—
ConvFormer	ConvFormer-S36	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1610.0	45.2	68.6	48.8	—	—	—
ConvFormer	ConvFormer-M36	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1824.0	45.7	69.2	49.5	—	—	—
MaxViT	MaxViT-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	475.0	44.6	69.1	48.4	—	—	—
MaxViT	MaxViT-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	595.0	45.4	69.8	49.5	—	—	—
MaxViT	MaxViT-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	856.0	45.7	70.3	50.0	—	—	—
MogaNet	MogaNet-XT	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	185.0	37.6	59.6	40.2	—	—	—
MogaNet	MogaNet-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	192.0	39.1	61.3	42.0	—	—	—
MogaNet	MogaNet-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	272.0	42.2	65.4	45.5	—	—	—
MogaNet	MogaNet-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	750.0	45.1	68.7	48.8	—	—	—
MogaNet	MogaNet-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	373.0	43.2	67.0	46.6	—	—	—
MogaNet	MogaNet-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	851.0	46.0	69.6	49.7	—	—	—
MogaNet	MogaNet-L	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	974.0	46.1	69.2	49.8	—	—	—
MogaNet	MogaNet-XL	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1355.0	48.8	72.6	53.3	—	—	—
VMamba	VMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	271.0	42.7	66.4	45.9	—	—	—
VMamba	VMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	271.0	43.7	67.4	47.0	—	—	—
VMamba	VMamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	349.0	43.7	67.3	47.0	—	—	—
VMamba	VMamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	349.0	44.2	68.2	47.7	—	—	—
VMamba	VMamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	485.0	44.1	68.3	47.7	—	—	—
UniRepLKNet	UniRepLKNet-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	749.0	44.9	—	—	—	—	—
UniRepLKNet	UniRepLKNet-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	835.0	45.9	—	—	—	—	—
UniRepLKNet	UniRepLKNet-S	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	835.0	47.1	—	—	—	—	—
UniRepLKNet	UniRepLKNet-B	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	978.0	47.4	—	—	—	—	—
UniRepLKNet	UniRepLKNet-L	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1385.0	48.4	—	—	—	—	—
UniRepLKNet	UniRepLKNet-XL	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1952.0	49.0	—	—	—	—	—
SLaK	SLaK-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	None	44.3	67.2	48.1	—	—	—
RepLKNet	RepLKNet-31B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	965.0	45.2	—	—	—	—	—
RepLKNet	RepLKNet-31B	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	965.0	46.0	—	—	—	—	—
RepLKNet	RepLKNet-31L	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1321.0	46.5	—	—	—	—	—
RepLKNet	RepLKNet-XL	MegData73M : Sup. : 15	Cascade Mask R-CNN	COCO (train) : 36	1958.0	48.0	—	—	—	—	—
BiFormer	BiFormer-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	43.2	66.8	46.5	—	—	—
BiFormer	BiFormer-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	None	43.7	67.6	47.1	—	—	—
MambaOut	MambaOut-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	262.0	41.0	64.1	44.1	—	—	—
MambaOut	MambaOut-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	354.0	42.7	66.1	46.2	—	—	—
MambaOut	MambaOut-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	495.0	43.0	66.4	46.3	—	—	—
GroupMamba	GroupMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	279.0	42.9	66.5	46.3	—	—	—
Vim	Vim-Ti	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 200	None	39.2	60.9	41.7	18.2	41.8	60.2
PlainMamba	PlainMamba-L1	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	388.0	39.1	61.6	41.9	—	—	—
PlainMamba	PlainMamba-L2	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	542.0	40.6	63.8	43.6	—	—	—
PlainMamba	PlainMamba-L3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	696.0	41.2	64.7	43.9	—	—	—
LocalVim	LocalVim-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 200	403.0	39.9	63.0	42.5	17.7	43.0	60.5
LocalVMamba	LocalVMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	291.0	42.2	65.7	45.5	—	—	—
LocalVMamba	LocalVMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	291.0	43.4	67.0	46.4	—	—	—
LocalVMamba	LocalVMamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	414.0	43.2	66.7	46.5	—	—	—
LocalVMamba	LocalVMamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	414.0	44.1	67.8	47.4	—	—	—
EfficientVMamba	EfficientVMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	60.0	33.2	54.4	35.1	—	—	—
EfficientVMamba	EfficientVMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	60.0	35.3	57.2	37.6	—	—	—
EfficientVMamba	EfficientVMamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	197.0	36.7	58.9	39.2	—	—	—
EfficientVMamba	EfficientVMamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	197.0	38.2	60.8	40.7	—	—	—
EfficientVMamba	EfficientVMamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	252.0	40.2	63.3	42.9	—	—	—
EfficientVMamba	EfficientVMamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	252.0	40.8	64.1	43.7	—	—	—
DAMamba	DAMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	284.0	43.4	67.2	46.7	—	—	—
DAMamba	DAMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	284.0	44.8	68.6	48.6	—	—	—
DAMamba	DAMamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	395.0	44.5	68.4	48.2	—	—	—
DAMamba	DAMamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	395.0	45.1	69.2	49.1	—	—	—
DAMamba	DAMamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	520.0	44.9	68.9	48.7	—	—	—
DAMamba	DAMamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	520.0	45.3	69.5	48.9	—	—	—
VSSD	VSSD-M	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	220.0	41.3	64.5	44.6	—	—	—
VSSD	VSSD-M	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	220.0	42.8	66.5	46.0	—	—	—
VSSD	VSSD-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	265.0	42.6	66.4	45.9	—	—	—
VSSD	VSSD-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	265.0	43.6	67.6	46.9	—	—	—
VSSD	VSSD-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	325.0	43.5	67.2	47.1	—	—	—
RMT	RMT-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	218.0	42.6	65.8	45.9	—	—	—
RMT	RMT-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	262.0	43.9	67.8	47.4	—	—	—
RMT	RMT-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	262.0	44.9	69.1	48.4	—	—	—
RMT	RMT-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	741.0	46.1	69.8	49.8	—	—	—
RMT	RMT-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	373.0	45.5	69.7	49.3	—	—	—
RMT	RMT-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	373.0	46.1	70.4	49.9	—	—	—
RMT	RMT-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	852.0	47.2	70.5	51.4	—	—	—
RMT	RMT-L	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	557.0	45.9	70.3	49.8	—	—	—
DAT++	DAT-T++	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	301.0	43.7	67.9	47.3	24.5	47.4	62.4
DAT++	DAT-T++	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	301.0	45.1	69.2	48.7	26.7	48.5	64.0
DAT++	DAT-T++	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 12	771.0	45.0	68.1	48.9	25.1	48.5	63.4
DAT++	DAT-T++	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	771.0	46.0	69.3	50.1	26.7	49.3	64.3
DAT++	DAT-S++	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	430.0	44.5	68.7	48.2	25.0	48.0	63.3
DAT++	DAT-S++	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	430.0	45.7	69.9	49.7	27.6	49.2	64.3
DAT++	DAT-S++	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	895.0	46.9	70.1	51.3	28.3	50.3	65.8
DAT++	DAT-B++	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1059.0	47.0	70.5	51.4	27.9	50.3	65.8
DAT	DAT-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	272.0	40.4	64.2	43.1	23.9	43.8	55.5
DAT	DAT-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	272.0	42.4	66.1	45.5	27.2	45.8	57.1
DAT	DAT-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 12	750.0	42.5	65.4	45.8	25.2	45.9	58.6
DAT	DAT-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	750.0	44.5	67.5	48.1	27.9	47.9	60.3
DAT	DAT-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	378.0	42.5	66.7	45.4	25.5	45.8	58.5
DAT	DAT-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	378.0	44.0	68.0	47.5	27.8	47.7	59.5
DAT	DAT-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	857.0	45.5	69.1	49.3	30.2	49.2	60.9
DAT	DAT-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1003.0	45.8	69.3	49.5	29.2	49.5	61.9
NAT	NAT-M	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	225.0	41.7	65.2	44.7	—	—	—
NAT	NAT-M	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	704.0	43.6	66.4	47.2	—	—	—
NAT	NAT-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	258.0	42.6	66.1	45.9	—	—	—
NAT	NAT-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	737.0	44.5	67.6	47.9	—	—	—
NAT	NAT-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	330.0	43.2	66.9	46.5	—	—	—
NAT	NAT-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	809.0	44.9	68.1	48.6	—	—	—
NAT	NAT-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	931.0	45.2	68.6	49.0	—	—	—
SSViT	SSViT-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	223.0	42.6	66.2	45.8	—	—	—
SSViT	SSViT-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	266.0	45.4	69.7	49.0	—	—	—
SSViT	SSViT-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	266.0	44.0	67.7	47.3	—	—	—
SSViT	SSViT-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	745.0	46.6	70.1	50.4	—	—	—
SSViT	SSViT-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	382.0	46.4	70.9	50.3	—	—	—
SSViT	SSViT-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	382.0	45.4	69.7	48.9	—	—	—
SSViT	SSViT-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	861.0	47.6	71.6	51.5	—	—	—
SSViT	SSViT-L	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	572.0	46.0	70.1	49.8	—	—	—
Iwin Transformer	Iwin-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	268.0	38.9	62.1	41.6	—	—	—
Iwin Transformer	Iwin-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	268.0	40.9	64.1	43.6	—	—	—
Iwin Transformer	Iwin-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 12	747.0	40.9	63.5	44.1	—	—	—
Iwin Transformer	Iwin-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	747.0	42.9	65.8	46.4	—	—	—
Iwin Transformer	Iwin-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	358.0	40.0	63.9	42.5	—	—	—
Iwin Transformer	Iwin-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	358.0	41.0	64.3	44.0	—	—	—
Iwin Transformer	Iwin-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	837.0	43.0	65.6	46.4	—	—	—
MA ViT	MA ViT-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	219.0	42.9	66.5	46.4	—	—	—
MA ViT	MA ViT-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	262.0	44.7	68.7	47.9	—	—	—
MA ViT	MA ViT-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	262.0	45.5	69.8	49.2	—	—	—
MA ViT	MA ViT-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	741.0	47.0	70.5	51.1	—	—	—
MA ViT	MA ViT-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	372.0	46.1	70.6	50.1	—	—	—
MA ViT	MA ViT-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	372.0	47.0	71.5	51.1	—	—	—
MA ViT	MA ViT-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	851.0	48.0	71.7	52.5	—	—	—
MA ViT	MA ViT-L	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	501.0	46.5	71.0	50.6	—	—	—
MA ViT	MA ViT-L	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	501.0	47.2	71.5	51.4	—	—	—
MA ViT	MA ViT-L	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	979.0	48.4	72.4	52.9	—	—	—
UniConvNet	UniConvNet-N2	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	220.0	41.9	65.1	45.2	—	—	—
UniConvNet	UniConvNet-N2	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	220.0	43.2	66.7	46.4	—	—	—
UniConvNet	UniConvNet-N3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	239.0	42.4	65.6	45.7	—	—	—
UniConvNet	UniConvNet-N3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	239.0	44.2	67.9	47.5	—	—	—
UniConvNet	UniConvNet-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	265.0	43.3	66.6	45.7	—	—	—
UniConvNet	UniConvNet-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	265.0	44.5	68.4	48.0	—	—	—
UniConvNet	UniConvNet-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	336.0	43.8	67.4	47.3	—	—	—
UniConvNet	UniConvNet-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	336.0	45.2	69.3	48.9	—	—	—
UniConvNet	UniConvNet-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	498.0	45.0	69.0	48.5	—	—	—
UniConvNet	UniConvNet-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	498.0	45.6	69.6	49.2	—	—	—
UniConvNet	UniConvNet-L	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 12	1288.0	48.3	71.9	52.9	—	—	—
UniConvNet	UniConvNet-L	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1288.0	48.9	73.0	53.4	—	—	—
A2Mamba	A2Mamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	283.0	45.3	—	—	—	—	—
A2Mamba	A2Mamba-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	762.0	46.6	—	—	—	—	—
A2Mamba	A2Mamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	410.0	46.8	—	—	—	—	—
A2Mamba	A2Mamba-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	889.0	47.6	—	—	—	—	—
A2Mamba	A2Mamba-L	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	552.0	46.8	—	—	—	—	—
A2Mamba	A2Mamba-L	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1027.0	48.1	—	—	—	—	—
FractalMamba++	FractalMamba++ (T)	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	260.0	43.2	66.8	46.6	—	—	—
FractalMamba++	FractalMamba++ (T)	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	260.0	44.1	67.9	47.5	—	—	—
FractalMamba++	FractalMamba++ (M)	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	199.0	40.3	63.2	43.4	—	—	—
FractalMamba++	FractalMamba++ (M)	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	199.0	42.2	65.4	45.3	—	—	—
InceptionMamba	InceptionMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	233.0	41.8	—	—	—	—	—
InceptionMamba	InceptionMamba-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	301.0	42.6	—	—	—	—	—
InceptionMamba	InceptionMamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	421.0	43.1	—	—	—	—	—
CoCA ViT	CoCA ViT-21M	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	None	44.9	67.8	48.2	—	—	—
CoCA ViT	CoCA ViT-28M	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	None	45.2	68.9	48.8	—	—	—
HybridNet	HybridNet-T	IN-1k : MAP : 1600	Cascade Mask R-CNN	COCO (train) : 36	None	39.8	—	—	—	—	—
S2AFormer	S2AFormer-mini	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	177.0	31.7	52.5	33.3	—	—	—
S2AFormer	S2AFormer-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	182.0	35.4	57.2	37.6	—	—	—
S2AFormer	S2AFormer-XS	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	185.0	35.8	57.3	38.1	—	—	—
S2AFormer	S2AFormer-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	197.0	37.6	59.7	40.3	—	—	—
S2AFormer	S2AFormer-M	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	253.0	39.3	62.0	41.7	—	—	—
VMINet	VMINet-XS	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	189.0	36.4	58.7	38.8	—	—	—
VMINet	VMINet-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	201.0	39.3	62.2	42.3	—	—	—
VMINet	VMINet-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	276.0	40.5	63.7	43.7	—	—	—
Mamba-Adaptor	Mamba-Adaptor-b1	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	218.0	39.5	60.1	42.7	—	—	—
Mamba-Adaptor	Mamba-Adaptor-b1	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	218.0	41.2	61.9	43.8	—	—	—
Mamba-Adaptor	Mamba-Adaptor-b2	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	259.0	43.4	66.9	46.4	—	—	—
Mamba-Adaptor	Mamba-Adaptor-b2	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	259.0	44.8	67.3	48.3	—	—	—
UniNeXt	UniNeXt-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	266.0	43.4	67.6	46.7	—	—	—
UniNeXt	UniNeXt-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	333.0	43.7	68.0	46.9	—	—	—
UniNeXt	UniNeXt-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	460.0	43.9	68.3	47.3	—	—	—