Heedless Backbones

COCO (val) Dataset

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axis

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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

Mask2Former

HTC++

HTC

Panoptic FPN

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Results

Parameters (M)

Images / Second

GFLOPs

Publication Date

Filters

pretrain dataset

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JFT-3B

ImageNet-1k

ImageNet-22k

JFT-300M

pretrain method

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Supervised

FCMAE

MAE

CL

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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
FocalNet	FocalNet-T-LRF	28.6	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	268.0	41.5
FocalNet	FocalNet-T-LRF	28.6	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	268.0	42.9
Hiera	Hiera-L	214.0	IN-1k : MAE : 1600	Mask R-CNN	COCO (train) : 100	1200.0	48.6
Swin	Swin-B	88.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	982.0	45.0
Swin	Swin-B	88.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 50	600.0	44.5
Swin	Swin-B	88.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 50	982.0	45.5
CSWin	CSWin-T	23.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	279.0	42.2
CSWin	CSWin-T	23.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	279.0	43.6
CSWin	CSWin-T	23.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	757.0	45.3
InternImage	InternImage-XL	335.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1782.0	48.1
InternImage	InternImage-XL	335.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1782.0	48.8
Hiera	Hiera-B+	70.0	IN-1k : MAE : 1600	Mask R-CNN	COCO (train) : 100	600.0	47.3
TransNeXt	TransNeXt-T	28.2	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	356.0	44.6
FocalNet	FocalNet-S-SRF	50.3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	56.0	42.7
FocalNet	FocalNet-S-SRF	50.3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	56.0	43.6
Swin	Swin-S	50.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	359.0	43.3
Swin	Swin-S	50.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	838.0	45.0
CAFormer	CAFormer-S36	39.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1622.0	46.0
CAFormer	CAFormer-M36	56.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1840.0	46.5
Swin	Swin-T	29.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	267.0	41.6
Swin	Swin-T	29.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	745.0	43.7
FocalNet	FocalNet-T-SRF	28.4	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	268.0	41.3
FocalNet	FocalNet-T-SRF	28.4	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	268.0	42.6
VMamba	VMamba-T	30.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	271.0	42.7
VMamba	VMamba-T	30.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	271.0	43.7
InternImage	InternImage-T	30.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	270.0	42.5
InternImage	InternImage-T	30.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	270.0	43.7
ConvNeXt	ConvNeXt-B	89.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	964.0	46.9
VMamba	VMamba-B	89.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	485.0	44.1
MogaNet	MogaNet-XL	180.8	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1355.0	48.8
ConvNeXt	ConvNeXt-B	89.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	964.0	45.6
UniRepLKNet	UniRepLKNet-S	55.6	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	835.0	45.9
FocalNet	FocalNet-S-LRF	50.3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	365.0	43.1
FocalNet	FocalNet-S-LRF	50.3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	365.0	43.8
ConvNeXt V2	ConvNeXt V2-L	198.0	IN-1k : FCMAE : 1600	Mask R-CNN	COCO (train) : 36	875.0	47.7
MaxViT	MaxViT-T	31.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	475.0	44.6
TransNeXt	TransNeXt-S	49.7	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	516.0	45.5
MogaNet	MogaNet-XT	3.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	185.0	37.6
CSWin	CSWin-B	78.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	526.0	43.9
CSWin	CSWin-B	78.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	526.0	44.9
CSWin	CSWin-B	78.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1004.0	46.4
MogaNet	MogaNet-T	5.2	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	192.0	39.1
Swin	Swin-L	197.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1382.0	46.7
Swin	Swin-L	197.0	IN-22k : Sup. : 90	Mask R-CNN	COCO (train) : 50	1100.0	46.2
Swin	Swin-L	197.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 50	1382.0	47.3
Swin	Swin-L	197.0	IN-22k : Sup. : 90	HTC++	COCO (train) : 72	1470.0	49.5
ConvNeXt	ConvNeXt-T	29.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	741.0	43.7
ConvNeXt	ConvNeXt-T	29.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	262.0	41.7
ConvFormer	ConvFormer-M36	57.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1824.0	45.7
UniRepLKNet	UniRepLKNet-T	31.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	749.0	44.9
UniRepLKNet	UniRepLKNet-S	55.6	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	835.0	47.1
ConvNeXt V2	ConvNeXt V2-H	660.0	IN-1k : FCMAE : 1600	Mask R-CNN	COCO (train) : 36	2525.0	48.9
ConvNeXt	ConvNeXt-S	50.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	827.0	45.0
UniRepLKNet	UniRepLKNet-XL	386.4	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1952.0	49.0
MogaNet	MogaNet-B	43.8	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	373.0	43.2
MogaNet	MogaNet-B	43.8	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	851.0	46.0
FocalNet	FocalNet-B-LRF	88.7	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	507.0	43.5
FocalNet	FocalNet-B-LRF	88.7	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	507.0	44.1
InternImage	InternImage-B	97.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	501.0	44.0
InternImage	InternImage-B	97.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	501.0	44.8
MogaNet	MogaNet-S	25.3	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	272.0	42.2
MogaNet	MogaNet-S	25.3	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	750.0	45.1
InternImage	InternImage-L	223.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 12	1399.0	47.7
InternImage	InternImage-L	223.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1399.0	48.5
ConvNeXt	ConvNeXt-XL	350.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1898.0	47.7
FocalNet	FocalNet-B-SRF	88.1	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	496.0	43.3
FocalNet	FocalNet-B-SRF	88.1	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	496.0	44.1
ConvFormer	ConvFormer-S18	27.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	502.0	42.6
ConvFormer	ConvFormer-S18	27.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1458.0	44.6
Swin	Swin-B	88.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	982.0	45.8
Swin	Swin-B	88.0	IN-22k : Sup. : 90	Mask R-CNN	COCO (train) : 50	700.0	45.4
Swin	Swin-B	88.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 50	982.0	46.5
Swin	Swin-B	88.0	IN-22k : Sup. : 90	HTC++	COCO (train) : 72	1043.0	49.1
InternImage	InternImage-S	50.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	340.0	43.3
InternImage	InternImage-S	50.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	340.0	44.5
MaxViT	MaxViT-B	120.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	856.0	45.7
ConvNeXt	ConvNeXt-L	198.0	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1354.0	47.6
UniRepLKNet	UniRepLKNet-B	97.9	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	978.0	47.4
MogaNet	MogaNet-L	82.5	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	974.0	46.1
TransNeXt	TransNeXt-B	89.7	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	728.0	45.9
VMamba	VMamba-S	50.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	349.0	43.7
VMamba	VMamba-S	50.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	349.0	44.2
MaxViT	MaxViT-S	69.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	595.0	45.4
ConvFormer	ConvFormer-S36	40.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1610.0	45.2
UniRepLKNet	UniRepLKNet-L	218.3	IN-22k : Sup. : 90	Cascade Mask R-CNN	COCO (train) : 36	1385.0	48.4
CSWin	CSWin-S	35.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	342.0	43.2
CSWin	CSWin-S	35.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	342.0	44.5
CSWin	CSWin-S	35.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	820.0	46.4
Hiera	Hiera-B	52.0	IN-1k : MAE : 1600	Mask R-CNN	COCO (train) : 100	600.0	46.3
CAFormer	CAFormer-S18	26.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	508.0	43.7
CAFormer	CAFormer-S18	26.0	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	1466.0	45.2
ConvNeXt V2	ConvNeXt V2-B	89.0	IN-1k : FCMAE : 1600	Mask R-CNN	COCO (train) : 36	486.0	46.6

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	—	—	—	—	—

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	56.0	42.7	67.1	45.7	—	—	—
FocalNet	FocalNet-S-SRF	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	56.0	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	—	—	—	—	—