Heedless Backbones

GroupMamba Family

Paper | GitHub

axis

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Results

Parameters (M)

Images / Second

Publication Date

task

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Object Detection

Instance Segmentation

Classification

Semantic Segmentation

Panoptic Segmentation

dataset

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COCO (val)

COCO (test)

Cityscapes (val)

Cityscapes (test)

ADE20K (val)

ADE20K (test)

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

axis

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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

Instance Head

Instance Training Epochs

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Family

Pretrain Method

Instance Head

Instance Training Epochs

model	params (m)	pretrain	head	train	GFLOPs	mAP
GroupMamba-T	23.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	279.0	42.9

model	params (m)	pretrain	finetune	gflops	IN-1k
GroupMamba-T	23.0	IN-1k : Sup. : 300	— : — : —	4.5	83.3/—
GroupMamba-S	34.0	IN-1k : Sup. : 300	— : — : —	7.0	83.9/—
GroupMamba-B	57.0	IN-1k : Sup. : 300	— : — : —	14.0	84.5/—

COCO (val)

model	pretrain	head	train	gflops	mAP^b	AP^b₅₀	AP^b₇₅	mAP^b_s	mAP^b_m	mAP^b_l
GroupMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	279.0	47.6	69.8	52.1	—	—	—

COCO (val)

model	pretrain	head	train	gflops	mAP^m	AP^m₅₀	AP^m₇₅	mAP^m_s	mAP^m_m	mAP^m_l
GroupMamba-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	279.0	42.9	66.5	46.3	—	—	—

ADE20K (val)

model	pretrain	head	train	gflops	mIoU^ms	pAcc^ms	mAcc^ms	mIoU^ss	pAcc^ss	mAcc^ss
GroupMamba-T	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 128 : 512	None	49.2	—	—	48.6	—	—