论文阅读笔记（三十九）：3D Convolutional Neural Networks for Human Action Recognition
This model extracts features from both spatial and temporal dimensions by performing 3D convolutions, thereby capturing the motion information encoded in multiple adjacent frames. The developed model
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相关文章
- 1. 《3D Convolutional Neural Networks for Human Action Recognition》论文阅读笔记
- 2. 论文：3D Convolutional Neural Networks for Human Action Recognition
- 3. 论文笔记3D Convolutional Neural Networks for Human Action Recognition
- 4. 3D Convolutional Neural Networks for Human Action Recognition
- 5. 译：3D Convolutional Neural Networks for Human Action Recognition
- 6. 3DCNN:3D Convolutional Neural Networks for Human Action Recognition
- 7. 【论文学习】3D Convolutional Neural Networks for Human Action Recognition
- 8. 深度学习文章阅读2--3D Convolutional Neural Networks for Human Action Recognition
- 9. 【论文阅读】MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition
- 10. 论文阅读：Multi-view Convolutional Neural Networks for 3D Shape Recognition