讀書筆記9：Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
傳統的LSTM是處理時間序列的，是一個一維的問題，而本文提出了spatio-temporal LSTM，其實就是將一維的LSTM改成了二維的。 簡介中，可以看出本文是準備探索基於RNN的3D skeleton based action recognition。並且指出本文將把RNN同時延伸到spatio-temporal維度，來同時從兩個維度分析數據中的動作信息。受到人體骨架的結構的啓發，作者還進
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相關文章
- 1. 讀書筆記21：MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition（CVPR2018）
- 2. 《3D Convolutional Neural Networks for Human Action Recognition》論文閱讀筆記
- 3. MiCT: Mixed 3D/2D convolutional tube for human action recognition
- 4. Spatiotemporal Residual Networks for Video Action Recognition
- 5. 3DCNN:3D Convolutional Neural Networks for Human Action Recognition
- 6. 譯：3D Convolutional Neural Networks for Human Action Recognition
- 7. Collaborative Spatiotemporal Feature Learning for Video Action Recognition 閱讀筆記
- 8. 3D Convolutional Neural Networks for Human Action Recognition
- 9. 論文：3D Convolutional Neural Networks for Human Action Recognition
- 10. Spatiotemporal Multiplier Networks for Video Action Recognition