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+# Projects based on MMClassification
+
+There are many projects built upon MMClassification.
+We list some of them as examples of how to extend MMClassification for your own projects.
+As the page might not be completed, please feel free to create a PR to update this page.
+
+## Projects as an extension
+
+- [OpenMixup](https://github.com/Westlake-AI/openmixup): an open-source toolbox for supervised, self-, and semi-supervised visual representation learning with mixup based on PyTorch, especially for mixup-related methods.
+- [AI Power](https://github.com/ykk648/AI_power): AI toolbox and pretrain models.
+- [OpenBioSeq](https://github.com/Westlake-AI/OpenBioSeq): an open-source supervised and self-supervised bio-sequence representation learning toolbox based on PyTorch.
+
+## Projects of papers
+
+There are also projects released with papers.
+Some of the papers are published in top-tier conferences (CVPR, ICCV, and ECCV), the others are also highly influential.
+To make this list also a reference for the community to develop and compare new image classification algorithms, we list them following the time order of top-tier conferences.
+Methods already supported and maintained by MMClassification are not listed.
+
+- Involution: Inverting the Inherence of Convolution for Visual Recognition, CVPR21. [\[paper\]](https://arxiv.org/abs/2103.06255)[\[github\]](https://github.com/d-li14/involution)
+- Convolution of Convolution: Let Kernels Spatially Collaborate, CVPR22. [\[paper\]](https://openaccess.thecvf.com/content/CVPR2022/papers/Zhao_Convolution_of_Convolution_Let_Kernels_Spatially_Collaborate_CVPR_2022_paper.pdf)[\[github\]](https://github.com/Genera1Z/ConvolutionOfConvolution)