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chinhsuanwu

mobilevit-pytorch

A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".

ModelsVision modelsPython
Open on GitHub
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580
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74
Forks
+0
This week
1
Contributors
Created 2021-10-07 · Updated 2026-09-29 · #16643 today
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chinhsuanwu

chinhsuanwu/mobilevit-pytorch is ranked 16,643 with 580 stars.

Same-category comparison

chinhsuanwu/mobilevit-pytorch is ranked 16,643 among these 8 peers; Doby-Xu/WithAnyone is ranked 16,636.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguagePython
CategoryModels
SubcategoryVision models
KeywordsComputer vision, Model architecture
Stars580
Forks74
Contributors1
Created date2021-10-07
Updated date2026-09-29
Stars in 1 day0
Stars in 7 days0
Rank16,643
Previous rank16,433
Rank change-210
7-day stars rank15,644
Previous 7-day stars rank15,649
7-day stars rank change5
Total stars rank17,241
Previous total stars rank17,215
Total stars rank change-26
CountryCanada
README summary

MobileViT Overview This is a PyTorch implementation of MobileViT specified in "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer", arXiv 2021. 👉 Check out CoAtNet if you are interested in other **Convolution + Transformer** models. Usage Citation Credits Code adapted from MobileNetV2 and ViT.

Frequently asked questions

How many stars and forks are recorded?

chinhsuanwu/mobilevit-pytorch has 580 stars and 74 forks.

What is the repository rank?

chinhsuanwu/mobilevit-pytorch is ranked 16,643.

What language and category are recorded?

chinhsuanwu/mobilevit-pytorch has 580 stars, uses Python and belongs to Models.

Which repository is closest in rank?

chinhsuanwu/mobilevit-pytorch is compared with Doby-Xu/WithAnyone, ranked 16,636 with 580 stars.

README

MobileViT

Overview

This is a PyTorch implementation of MobileViT specified in "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer", arXiv 2021.

👉 Check out CoAtNet if you are interested in other Convolution + Transformer models.

Usage

import torch
from mobilevit import mobilevit_xxs

img = torch.randn(1, 3, 256, 256)
vit = mobilevit_xxs()
out = vit(img)

Citation

@article{mehta2021mobilevit,
  title={MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer},
  author={Mehta, Sachin and Rastegari, Mohammad},
  journal={arXiv preprint arXiv:2110.02178},
  year={2021}
}

Credits

Code adapted from MobileNetV2 and ViT.

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