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Awesome List of Attention Modules and Plug&Play Modules in Computer Vision
| Date | Stars |
|---|---|
| 2026-07-24 | 1274 |
| 2026-07-25 | 1274 |
| 2026-07-28 | 1275 |
| 2026-07-30 | 1275 |
| 2026-07-31 | 1277 |
| 2026-08-06 | 1277 |
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# Awesome-Attention-Mechanism-in-cv [](https://awesome.re)  ## Table of Contents - [Introduction](#Introduction) - [Attention Mechanism](#Attention-Mechanism) - [Plug and Play Module](#Plug-and-Play-Module) - [Vision Transformer](#Vision-Transformer) - [Contributing](#Contributing) ## Introduction This is a list of awesome attention mechanisms used in computer vision, as well as a collection of plug and play modules. Due to limited ability and energy, many modules may not be included. If you have any suggestions or improvements, welcome to submit an [issue](https://github.com/pprp/awesome-attention-mechanism-in-cv/issues) or [PR](https://github.com/pprp/awesome-attention-mechanism-in-cv/pulls). ## Attention Mechanism | Paper | Publish | Link | Blog | | ------------------------------------------------------------ | ----------- | ------------------------------------------------------------ | ----------------------------------------------- | | [Squeeze and Excitation Network](https://arxiv.org/abs/1709.01507) | CVPR18 | [SENet](https://github.com/hujie-frank/SENet) | [zhihu](https://zhuanlan.zhihu.com/p/102035721) | | [Global Second-order Pooling Convolutional Networks](https://cs.jhu.edu/~alanlab/Pubs20/li2020neural.pdf) | CVPR19 | [GSoPNet](https://github.com/ZilinGao/Global-Second-order-Pooling-Convolutional-Networks) | | | [Neural Architecture Search for Lightweight Non-Local Networks](https://cs.jhu.edu/~alanlab/Pubs20/li2020neural.pdf) | CVPR20 | [AutoNL](https://github.com/LiYingwei/AutoNL) | | | [Selective Kernel Network](https://arxiv.org/pdf/1903.06586.pdf) | CVPR19 | [SKNet](https://github.com/implus/SKNet) | [zhihu](https://zhuanlan.zhihu.com/p/102034839) | | [Convolutional Block Attention Module](https://arxiv.org/pdf/1807.06521.pdf) | ECCV18 | [CBAM](https://github.com/Jongchan/attention-module) | [zhihu](https://zhuanlan.zhihu.com/p/102035273) | | [BottleNeck Attention Module](https://arxiv.org/pdf/1807.06514.pdf) | BMVC18 | [BAM](https://github.com/Jongchan/attention-module) | [zhihu](https://zhuanlan.zhihu.com/p/102033063) | | [Concurrent Spatial and Channel ‘Squeeze & Excitation’ in Fully Convolutional Networks](http://arxiv.org/pdf/1803.02579v2.pdf) | MICCAI18 | [scSE](https://github.com/ai-med/squeeze_and_excitation) | [zhihu](https://zhuanlan.zhihu.com/p/102036086) | | [Non-local Neural Networks](https://arxiv.org/abs/1711.07971) | CVPR19 | [Non-Local(NL)](https://github.com/AlexHex7/Non-local_pytorch) | [zhihu](https://zhuanlan.zhihu.com/p/102984842) | | [GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond](https://arxiv.org/abs/1904.11492) | ICCVW19 | [GCNet](https://github.com/xvjiarui/GCNet) | [zhihu](https://zhuanlan.zhihu.com/p/102990363) | | [CCNet: Criss-Cross Attention for Semantic Segmentation](https://arxiv.org/abs/1811.11721) | ICCV19 | [CCNet](https://github.com/speedinghzl/CCNet) | | | [SA-Net:shuffle attention for deep convolutional neural networks](https://arxiv.org/pdf/2102.00240.pdf) | ICASSP 21 | [SANet](https://github.com/wofmanaf/SA-Net) | [zhihu](https://zhuanlan.zhihu.com/p/350912960) | | [ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks](https://arxiv.org/pdf/1910.03151.pdf) | CVPR20 | [ECANet](https://github.com/BangguWu/ECANet) | | | [Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Net
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Peijie Dong · Data Science and Analytic Thrust, Information Hub, HKUST(GZ) · China
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e7580e49db77954d, topic:computer-vision, desc:computer vision, readme:computer vision