Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
上周看了一下Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition（2020CVPR）这篇paper，然后分享一下我对于这篇论文的一些理解吧，当然还有的部分没有看太明白，希望以后大佬可以写一个对于该篇paper的解读。把论文链接和code链接都丢下面。 https://arxiv.org
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- 3. paper reading：Part-based Graph Convolutional Network for Action Recognition
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相关文章
- 1. 【论文笔记】CVPR2020 Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
- 2. 论文笔记--Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
- 3. paper reading：Part-based Graph Convolutional Network for Action Recognition
- 4. PaperReading3-A Closer Look at Spatiotemporal Convolutions for Action Recognition
- 5. DDGCN: A Dynamic Directed Graph Convolutional Network for Action Recognition
- 6. Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
- 7. 论文阅读《Long-term Temporal Convolutions for Action Recognition》
- 8. StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
- 9. 《Long-Term Temporal Convolutions for Action Recognition》 论文翻译
- 10. Unifying Task-oriented Knowledge Graph Learning and Recommendation