Heedless Backbones

DeepLabv3

Paper | GitHub

axis

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Results

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Images / Second

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task

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Semantic Segmentation

dataset

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Cityscapes (val)

Cityscapes (test)

ADE20K (val)

ADE20K (test)

PASCAL VOC 2007 (val)

PASCAL VOC 2007 (test)

PASCAL VOC 2012 (val)

metric

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mIoU^ms

pAcc^ms

mAcc^ms

mIoU^ss

pAcc^ss

mAcc^ss

GFLOPs

resolution

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512x2048

640x2560

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Results

Parameters (M)

Images / Second

GFLOPs

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Legend

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Family

Pretrain Dataset

Pretrain Method

Semantic Segmentation Head

Semantic Segmentation Resolution

Semantic Segmentation Training Epochs

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Pretrain Dataset

Pretrain Method

Semantic Segmentation Head

Semantic Segmentation Resolution

Semantic Segmentation Training Epochs

No Results

ADE20K (val)

family	model	pretrain	train	gflops	mIoU^ms	pAcc^ms	mAcc^ms	mIoU^ss	pAcc^ss	mAcc^ss
MobileMamba	MobileMamba-B4	IN-1k : Sup. : 300	ADE20K (train) : 128 : 512	4.7	—	—	—	36.6	76.3	47.1

PASCAL VOC 2012 (val)

family	model	pretrain	train	gflops	mIoU^ms	pAcc^ms	mAcc^ms	mIoU^ss	pAcc^ss	mAcc^ss
MobileViT	MobileViT-XXS	IN-1k : Sup. : 300	PASCAL VOC 2012 (train + SBD + COCO) : 50 : 512	None	—	—	—	73.6	—	—
MobileViT	MobileViT-XS	IN-1k : Sup. : 300	PASCAL VOC 2012 (train + SBD + COCO) : 50 : 512	5.7	—	—	—	77.1	—	—
MobileViT	MobileViT-S	IN-1k : Sup. : 300	PASCAL VOC 2012 (train + SBD + COCO) : 50 : 512	None	—	—	—	79.1	—	—