Heedless Backbones

MobileViT 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)

PASCAL VOC 2007 (val)

PASCAL VOC 2007 (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

RetinaNet

DINO

HTC++

HTC

FCOS

Faster R-CNN

DETR

SSDLite

Sparse R-CNN

ATSS

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Results

Parameters (M)

Images / Second

GFLOPs

Publication Date

Filters

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
MobileViT-XS	2.3	IN-1k : Sup. : 300	SSDLite	COCO (train) : 200	1.6	24.8

model	params (m)	pretrain	finetune	gflops	IN-1k
MobileViT-XXS	1.3	IN-1k : Sup. : 300	— : — : —	None	69.0/88.9
MobileViT-XS	2.3	IN-1k : Sup. : 300	— : — : —	None	74.8/92.3
MobileViT-S	5.6	IN-1k : Sup. : 300	— : — : —	None	78.4/94.1

COCO (val)

model	pretrain	head	train	gflops	mAP^b	AP^b₅₀	AP^b₇₅	mAP^b_s	mAP^b_m	mAP^b_l
MobileViT-XS	IN-1k : Sup. : 300	SSDLite	COCO (train) : 200	1.6	24.8	—	—	—	—	—
MobileViT-S	IN-1k : Sup. : 300	SSDLite	COCO (train) : 200	None	27.7	—	—	—	—	—

PASCAL VOC 2012 (val)

model	pretrain	head	train	gflops	mIoU^ms	pAcc^ms	mAcc^ms	mIoU^ss	pAcc^ss	mAcc^ss
MobileViT-XXS	IN-1k : Sup. : 300	DeepLabv3	PASCAL VOC 2012 (train + SBD + COCO) : 50 : 512	None	—	—	—	73.6	—	—
MobileViT-XS	IN-1k : Sup. : 300	DeepLabv3	PASCAL VOC 2012 (train + SBD + COCO) : 50 : 512	5.7	—	—	—	77.1	—	—
MobileViT-S	IN-1k : Sup. : 300	DeepLabv3	PASCAL VOC 2012 (train + SBD + COCO) : 50 : 512	None	—	—	—	79.1	—	—