Heedless Backbones

RetinaNet

Paper | GitHub

axis

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Results

Parameters (M)

Images / Second

Publication Date

task

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Object Detection

dataset

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COCO (val)

COCO (test)

PASCAL VOC 2007 (val)

PASCAL VOC 2007 (test)

metric

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mAP

AP₅₀

AP₇₅

mAP_s

mAP_m

mAP_l

GFLOPs

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Results

Parameters (M)

Images / Second

GFLOPs

Publication Date

Filters

pretrain dataset

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MegData73M

JFT-3B

JFT-300M

ImageNet-1k

ImageNet-22k

pretrain method

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Supervised

Sup. + TL

FCMAE

MAE

CL

Legend

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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
MogaNet	MogaNet-XT	3.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	167.0	39.7
MogaNet	MogaNet-T	5.2	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	173.0	41.4
MogaNet	MogaNet-S	25.3	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	253.0	45.8
PlainMamba	PlainMamba-L1	7.3	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	250.0	41.7
PlainMamba	PlainMamba-L2	25.7	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	392.0	43.9
PlainMamba	PlainMamba-L3	50.5	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	478.0	44.8
RMT	RMT-T	14.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	199.0	45.1
RMT	RMT-S	27.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	244.0	47.8
RMT	RMT-B	54.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	355.0	49.1
RMT	RMT-L	95.0	IN-1k : Sup. : 300	RetinaNet	COCO (train) : 12	537.0	49.4
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-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

COCO (val)

family	model	pretrain	train	gflops	mAP^b	AP^b₅₀	AP^b₇₅	mAP^b_s	mAP^b_m	mAP^b_l
MogaNet	MogaNet-XT	IN-1k : Sup. : 300	COCO (train) : 12	167.0	39.7	60.0	42.4	23.8	43.6	51.7
MogaNet	MogaNet-T	IN-1k : Sup. : 300	COCO (train) : 12	173.0	41.4	61.5	44.4	25.1	45.7	53.6
MogaNet	MogaNet-S	IN-1k : Sup. : 300	COCO (train) : 12	253.0	45.8	66.6	49.0	29.1	50.1	59.8
BiFormer	BiFormer-S	IN-1k : Sup. : 300	COCO (train) : 12	None	45.9	66.9	49.4	30.2	49.6	61.7
BiFormer	BiFormer-B	IN-1k : Sup. : 300	COCO (train) : 12	None	47.1	68.5	50.4	31.3	50.8	62.6
PlainMamba	PlainMamba-L1	IN-1k : Sup. : 300	COCO (train) : 12	250.0	41.7	62.1	44.4	—	—	—
PlainMamba	PlainMamba-L2	IN-1k : Sup. : 300	COCO (train) : 12	392.0	43.9	64.9	47.0	—	—	—
PlainMamba	PlainMamba-L3	IN-1k : Sup. : 300	COCO (train) : 12	478.0	44.8	66.0	47.9	—	—	—
EfficientVMamba	EfficientVMamba-T	IN-1k : Sup. : 300	COCO (train) : 12	None	37.5	57.8	39.6	22.6	40.7	49.1
EfficientVMamba	EfficientVMamba-S	IN-1k : Sup. : 300	COCO (train) : 12	None	39.1	60.3	41.2	23.9	43.0	51.3
EfficientVMamba	EfficientVMamba-B	IN-1k : Sup. : 300	COCO (train) : 12	None	42.8	63.9	45.8	27.3	46.9	55.1
RMT	RMT-T	IN-1k : Sup. : 300	COCO (train) : 12	199.0	45.1	66.2	48.1	28.8	48.9	61.1
RMT	RMT-S	IN-1k : Sup. : 300	COCO (train) : 12	244.0	47.8	69.1	51.8	32.1	51.8	63.5
RMT	RMT-B	IN-1k : Sup. : 300	COCO (train) : 12	355.0	49.1	70.3	53.0	32.9	53.2	64.2
RMT	RMT-L	IN-1k : Sup. : 300	COCO (train) : 12	537.0	49.4	70.6	53.1	34.2	53.9	65.2
DAT++	DAT-T++	IN-1k : Sup. : 300	COCO (train) : 12	283.0	46.8	68.4	50.3	30.8	51.9	62.5
DAT++	DAT-T++	IN-1k : Sup. : 300	COCO (train) : 36	283.0	49.2	70.3	53.0	32.7	53.4	64.7
DAT++	DAT-S++	IN-1k : Sup. : 300	COCO (train) : 12	410.0	48.3	70.0	51.8	32.3	52.4	63.1
DAT++	DAT-S++	IN-1k : Sup. : 300	COCO (train) : 36	410.0	50.2	71.5	54.0	34.7	54.6	65.3