Heedless Backbones

vGamba Family

Paper | GitHub

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Parameters (M)

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task

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Object Detection

Instance Segmentation

Classification

Semantic Segmentation

Panoptic Segmentation

dataset

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ImageNet-1k

ImageNet-A

ImageNet-R

ImageNet-Sketch

ImageNet-C

ImageNet-C-bar

ImageNet-V2

ImageNet-ReaL

PASCAL VOC 2007 (val)

PASCAL VOC 2007 (test)

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Top-1

Top-5

GFLOPs

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224x224

384x384

512x512

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Results

Parameters (M)

Images / Second

GFLOPs

Publication Date

Filters

Legend

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Family

Pretrain Dataset

Classification Resolution

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Family

Pretrain Method

Classification Resolution

model	params (m)	pretrain	finetune	GFLOPs	Top-1
vGamba-B	19.4	IN-1k : Sup. : 300	— : — : —	3.8	81.1
vGamba-L	38.4	IN-1k : Sup. : 300	— : — : —	7.6	82.8
vGamba-X	54.0	IN-1k : Sup. : 250	— : — : —	11.3	83.2

model	params (m)	pretrain	finetune	gflops	IN-1k
vGamba-B	19.4	IN-1k : Sup. : 300	— : — : —	3.8	81.1/—
vGamba-L	38.4	IN-1k : Sup. : 300	— : — : —	7.6	82.8/—
vGamba-X	54.0	IN-1k : Sup. : 250	— : — : —	11.3	83.2/—

COCO (val)

model	pretrain	head	train	gflops	mAP^b	AP^b₅₀	AP^b₇₅	mAP^b_s	mAP^b_m	mAP^b_l
vGamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	225.0	44.9	—	—	—	—	—
vGamba-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	727.0	50.8	—	—	—	—	—
vGamba-L	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	254.0	49.8	—	—	—	—	—
vGamba-L	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	254.0	51.3	—	—	—	—	—
vGamba-L	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	905.0	52.0	—	—	—	—	—

COCO (val)

model	pretrain	head	train	gflops	mAP^m	AP^m₅₀	AP^m₇₅	mAP^m_s	mAP^m_m	mAP^m_l
vGamba-B	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	225.0	42.0	—	—	—	—	—
vGamba-B	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	727.0	43.7	—	—	—	—	—
vGamba-L	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 12	254.0	45.3	—	—	—	—	—
vGamba-L	IN-1k : Sup. : 300	Mask R-CNN	COCO (train) : 36	254.0	46.1	—	—	—	—	—
vGamba-L	IN-1k : Sup. : 300	Cascade Mask R-CNN	COCO (train) : 36	905.0	45.3	—	—	—	—	—

ADE20K (val)

model	pretrain	head	train	gflops	mIoU^ms	pAcc^ms	mAcc^ms	mIoU^ss	pAcc^ss	mAcc^ss
vGamba-B	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 128 : 512	941.0	46.7	—	—	46.6	—	—
vGamba-L	IN-1k : Sup. : 300	UPerNet	ADE20K (train) : 128 : 512	1019.0	47.8	—	—	46.9	—	—