【論文翻譯】An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton - Based Action Recognition 基於骨架的注意增強圖卷積LSTM網絡 0摘要： 基於骨架的動作識別是一種重要的任務,需要對給定骨架序列的人體動作的運動特性進行充分的理解, 最近的研究表明，探索骨骼序列的空間和時間特徵是這項任務的關鍵。然而，
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- 1. An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
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相關文章
- 1. An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
- 2. 論文翻譯：Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
- 3. paper reading：Part-based Graph Convolutional Network for Action Recognition
- 4. 論文翻譯：Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks
- 5. DDGCN: A Dynamic Directed Graph Convolutional Network for Action Recognition
- 6. Action Recognition Using Attention-Joints Graph Convolutional Neural Networks翻譯
- 7. Part-based Graph Convolutional Network for Action Recognition論文筆記
- 8. 論文翻譯：Skeleton Based Human Action Recognition with Global Context-Aware Attention LSTM Networks
- 9. 譯：Convolutional Two-Stream Network Fusion for Video Action Recognition
- 10. 論文翻譯：GRAPH ATTENTION NETWORKS