读书笔记：Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition

时间 2021-01-04

标签深度学习神经网络繁體版

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Dynamic GCN：基于骨架的动作识别的上下文丰富的拓扑学习 Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition code：暂时未公开摘要：图卷积网络（GCN）对基于骨骼的动作识别任务越来越感兴趣。关键在于图形结构的设计，该结构对骨架拓扑信息进行编码。在本文中，我们提

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1. 3DV（读书笔记）3DV: 3D Dynamic Voxel for Action Recognition in Depth Video
2. 读书笔记5：Deep Progressive Reinforcement Learning for Skeleton-based Action Recognition
3. 论文阅读《Dynamic Image Networks for Action Recognition》
4. DDGCN: A Dynamic Directed Graph Convolutional Network for Action Recognition
5. 阅读笔记Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by NS(AAAI2020)
6. Collaborative Spatiotemporal Feature Learning for Video Action Recognition 阅读笔记
7. 《Collaborative Spatioitemporal Feature Learning for Video Action Recognition》阅读
8. 读书笔记9：Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
9. Two-Stream Convolutional Networks for Action Recognition in Videos读书笔记
10. 读书笔记1：Hierarchical Recurrent Neural Network for Skeleton Based Action Recognition

>>更多相关文章<<