读书笔记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 本文考虑到在识别人体动作的时候，3D CNN的水平不及2D CNN在识别静态图片时的水平，认为这是由于3D CNN消耗的计算资源和存储资源过大导致不能很好的训练，因此在本文中提出了一个2D和3D CNN结合的模
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相关文章
- 1. MiCT: Mixed 3D/2D convolutional tube for human action recognition
- 2. 【论文阅读】MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition
- 3. 论文浏览(45) MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition
- 4. 《3D Convolutional Neural Networks for Human Action Recognition》论文阅读笔记
- 5. 3DCNN:3D Convolutional Neural Networks for Human Action Recognition
- 6. 读书笔记25：Temporal Hallucinating for Action Recognition with Few Still Images（CVPR2018）
- 7. 读书笔记9：Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
- 8. 3D Convolutional Neural Networks for Human Action Recognition
- 9. 译：3D Convolutional Neural Networks for Human Action Recognition
- 10. 论文：3D Convolutional Neural Networks for Human Action Recognition