讀書筆記21：MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition（CVPR2018）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhou_MiCT_Mixed_3D2D_CVPR_2018_paper.pdf 本文考慮到在識別人體動作的時候，3D CNN的水平不及2D CNN在識別靜態圖片時的水平，認爲這是由於3D CNN消耗的計算資源和存儲資源過大導致不能很好的訓練，因此在本文中提出了一個2D和3D CNN結合的模
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相關文章
- 1. MiCT: Mixed 3D/2D convolutional tube for human action recognition
- 2. 【論文閱讀】MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition
- 3. 論文瀏覽(45) MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition
- 4. 《3D Convolutional Neural Networks for Human Action Recognition》論文閱讀筆記
- 5. 3DCNN:3D Convolutional Neural Networks for Human Action Recognition
- 6. 讀書筆記25：Temporal Hallucinating for Action Recognition with Few Still Images（CVPR2018）
- 7. 讀書筆記9：Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
- 8. 3D Convolutional Neural Networks for Human Action Recognition
- 9. 譯：3D Convolutional Neural Networks for Human Action Recognition
- 10. 論文：3D Convolutional Neural Networks for Human Action Recognition