讀書筆記1：Hierarchical Recurrent Neural Network for Skeleton Based Action Recognition
寫這個讀書筆記，一方面是爲了瞭解他人的研究，另一方面希望學習科技論文的寫作方法，提升自己寫paper的水平。 原文鏈接：https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Du_Hierarchical_Recurrent_Neural_2015_CVPR_paper.pdf 下面對文章每個部分的結構和內容進行分析
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相關文章
- 1. 讀書筆記5：Deep Progressive Reinforcement Learning for Skeleton-based Action Recognition
- 2. Self-Attention Network for Skeleton-based Human Action Recognition
- 3. 讀書筆記：Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition
- 4. An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
- 5. 閱讀筆記Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by NS(AAAI2020)
- 6. 閱讀Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action Recognition
- 7. Skeleton-Based Action Recognition with Directed Graph Neural Networks---論文筆記
- 8. View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition
- 9. Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
- 10. (zhuan) Recurrent Neural Network