[骨架動作識別]ST-NBNN&Deep Learning on Lie Groups CVPR2017
一、ST-NBNN： 沒上神經網絡 Each 3D action instance is represented by a collection of temporal stages composed by 3D poses, and each pose in stages is presented by a collection of spatial joints. 1. Introductio
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相關文章
- 1. [骨架動作識別]數據集
- 2. CVPR2017 tutorial: 3D Deep Learning
- 3. [骨架動作識別]A New Representation of Skeleton Sequences for 3D Action Recognition
- 4. [骨架動作識別]Global Context-Aware Attention LSTM
- 5. [Feature Fusion]骨架動作識別中幾何特徵的融合
- 6. [骨架動作識別]STA-LSTM: Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data
- 7. 基於三維骨骼的動作識別
- 8. 【CVPR2017，action recognition,動作識別】Quo Vadis, Action Recognition? A New Model and the Kinetics Datase...
- 9. CVPR2017 all paper list
- 10. 深度圖像&骨骼數據進行動作識別數據集