读书笔记1：Hierarchical Recurrent Neural Network for Skeleton Based Action Recognition
写这个读书笔记，一方面是为了了解他人的研究，另一方面希望学习科技论文的写作方法，提升自己写paper的水平。 原文链接：https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Du_Hierarchical_Recurrent_Neural_2015_CVPR_paper.pdf 下面对文章每个部分的结构和内容进行分析
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相关文章
- 1. 读书笔记5：Deep Progressive Reinforcement Learning for Skeleton-based Action Recognition
- 2. Self-Attention Network for Skeleton-based Human Action Recognition
- 3. 读书笔记：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. 阅读笔记Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by NS(AAAI2020)
- 6. 阅读Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action Recognition
- 7. Skeleton-Based Action Recognition with Directed Graph Neural Networks---论文笔记
- 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