Heedless Backbones

GG 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

Legend

Legend attribute

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Family

Pretrain Dataset

Instance Head

Instance Training Epochs

Legend attribute (second)

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Family

Pretrain Method

Instance Head

Instance Training Epochs

model	params (m)	pretrain	head	train	GFLOPs	mAP
GG-T	28.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	265.0	39.9
GG-S	50.0	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	355.0	41.3

model	params (m)	pretrain	finetune	gflops	IN-1k
GG-T	28.0	IN-1k : Sup. : 300	— : — : —	4.5	82.0/—
GG-S	50.0	IN-1k : Sup. : 300	— : — : —	8.7	83.4/—

COCO (val)

model	pretrain	head	train	gflops	mAP^b	AP^b₅₀	AP^b₇₅	mAP^b_s	mAP^b_m	mAP^b_l
GG-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	265.0	44.1	66.7	48.3	—	—	—
GG-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 12	None	48.4	67.4	52.3	—	—	—
GG-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	355.0	45.7	68.3	49.9	—	—	—
GG-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 12	None	49.9	69.0	54.0	—	—	—

COCO (val)

model	pretrain	head	train	gflops	mAP^m	AP^m₅₀	AP^m₇₅	mAP^m_s	mAP^m_m	mAP^m_l
GG-T	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	265.0	39.9	63.3	42.4	—	—	—
GG-T	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 12	None	41.9	64.5	45.0	—	—	—
GG-S	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	355.0	41.3	65.3	44.0	—	—	—
GG-S	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 12	None	43.1	66.2	46.4	—	—	—

ADE20K (val)

model	pretrain	head	train	gflops	mIoU^ms	pAcc^ms	mAcc^ms	mIoU^ss	pAcc^ss	mAcc^ss
GG-T	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 128 : 512	942.0	47.2	—	—	46.4	—	—
GG-S	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 128 : 512	1035.0	49.6	—	—	48.4	—	—