Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
上週看了一下Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition（2020CVPR）這篇paper，然後分享一下我對於這篇論文的一些理解吧，當然還有的部分沒有看太明白，希望以後大佬可以寫一個對於該篇paper的解讀。把論文鏈接和code鏈接都丟下面。 https://arxiv.org
相關文章
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- 3. paper reading：Part-based Graph Convolutional Network for Action Recognition
- 4. PaperReading3-A Closer Look at Spatiotemporal Convolutions for Action Recognition
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相關文章
- 1. 【論文筆記】CVPR2020 Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
- 2. 論文筆記--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. 論文閱讀《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》 論文翻譯
- 10. Unifying Task-oriented Knowledge Graph Learning and Recommendation