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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
| Date | Stars |
|---|---|
| 2026-07-24 | 5050 |
| 2026-07-25 | 5050 |
| 2026-07-28 | 5050 |
| 2026-07-30 | 5050 |
| 2026-08-06 | 5050 |
Today
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growth rate 0.00%/day
# Ultimate-Awesome-Transformer-Attention [](https://github.com/sindresorhus/awesome) This repo contains a comprehensive paper list of **Vision Transformer & Attention**, including papers, codes, and related websites. <br> This list is maintained by [Min-Hung Chen](https://minhungchen.netlify.app/). (*Actively* keep updating) If you find some ignored papers, **feel free to [*create pull requests*](https://github.com/cmhungsteve/Awesome-Transformer-Attention/blob/main/How-to-PR.md), [*open issues*](https://github.com/cmhungsteve/Awesome-Transformer-Attention/issues/new), or [*email* me](mailto:[email protected])**. <br> Contributions in any form to make this list more comprehensive are welcome. If you find this repository useful, please consider **[citing](#citation)** and **★STARing** this list. <br> Feel free to share this list with others! **[Update: January, 2024]** Added all the related papers from *NeurIPS 2023*! <br> **[Update: December, 2023]** Added all the related papers from *ICCV 2023*! <br> **[Update: September, 2023]** Split the multi-modal paper list to [README_multimodal.md](README_multimodal.md) <br> **[Update: June, 2023]** Added all the related papers from *ICML 2023*! <br> **[Update: June, 2023]** Added all the related papers from *CVPR 2023*! <br> **[Update: February, 2023]** Added all the related papers from *ICLR 2023*! <br> **[Update: December, 2022]** Added attention-free papers from [Networks Beyond Attention (GitHub)](https://github.com/FocalNet/Networks-Beyond-Attention) made by [Jianwei Yang](https://github.com/jwyang) <br> **[Update: November, 2022]** Added all the related papers from *NeurIPS 2022*! <br> **[Update: October, 2022]** Split the 2nd half of the paper list to [README_2.md](README_2.md) <br> **[Update: October, 2022]** Added all the related papers from *ECCV 2022*! <br> **[Update: September, 2022]** Added the [Transformer tutorial slides](http://lucasb.eyer.be/transformer) made by [Lucas Beyer](https://twitter.com/giffmana)! <br> **[Update: June, 2022]** Added all the related papers from *CVPR 2022*! --- ## Overview - [Citation](#citation) - [Survey](#survey) - [Image Classification / Backbone](#image-classification--backbone) - [Replace Conv w/ Attention](#replace-conv-w-attention) - [Pure Attention](#pure-attention) - [Conv-stem + Attention](#conv-stem--attention) - [Conv + Attention](#conv--attention) - [Vision Transformer](#vision-transformer) - [General Vision Transformer](#general-vision-transformer) - [Efficient Vision Transformer](#efficient-vision-transformer) - [Conv + Transformer](#conv--transformer) - [Training + Transformer](#training--transformer) - [Robustness + Transformer](#robustness--transformer) - [Model Compression + Transformer](#model-compression--transformer) - [Attention-Free](#attention-free) - [MLP-Series](#mlp-series) - [Other Attention-Free](#other-attention-free) - [Analysis for Transformer](#analysis-for-transformer) - [Detection](#detection) - [Object Detection](#object-detection) - [3D Object Detection](#3d-object-detection) - [Multi-Modal Detection](#multi-modal-detection) - [HOI Detection](#hoi-detection) - [Salient Object Detection](#salient-object-detection) - [Other Detection Tasks](#other-detection-tasks) - [Segmentation](#segmentation) - [Semantic Segmentation](#semantic-segmentation) - [Depth Estimation](#depth-estimation) - [Object Segmentation](#object-segmentation) - [Other Segmentation Tasks](#other-segmentation-tasks) - [Video (High-level)](#video-high-level) - [Action Recognition](#action-recognition) - [Action Detection/Localization](#action-detectionlocalization) - [Action Prediction/Anticipation](#action-predictionanticipation) - [Video Object Segmentation](#video-
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Min-Hung (Steve) Chen · @NVIDIA · Taiwan
1.6k
4
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Xiaojian Ma
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Amanpreet Singh · Something new. Past @ContextualAI @huggingface @facebookresearch · United States
2
Shen Zhuoran · xAI · United States
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Pranav Gupta · IIIT-H · India
1
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Bastian Wittmann · PhD Student @ UZH · Switzerland
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Yuanwen Yue · ETH Zürich · Switzerland
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Ziyang Wang · Aston University · United Kingdom
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Peng Xu （徐鹏） · Tsinghua University · China
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POSTECH
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Hangjie Yuan · ZJU, Alibaba DAMO, MMLab@NTU · Singapore
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:6a6c48620ee6cc3d, topic:awesome-list, topic:papers, readme:tutorial
matched fp:6a6c48620ee6cc3d, topic:computer-vision, readme:object detection, readme:semantic segmentation