Action Recognition－Two Stream CNN论文笔记
本文主要针对论文：《Two-Stream Convolutional Networks for Action Recognition in Videos》记录自己的理解。 考虑到视频由空间和时间两个部分组成，空间部分更多表征Appearence信息，比如目标、场景等；而时间部分更多表征Motion信息，包括摄像机的运动或者目标物体的运动信息。所以该网络结构的设计考虑两个部分。 Two－stream
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- 5. 译：Two-stream convolutional networks for action recognition in videos
- 6. 译：Two-Stream Convolutional Networks for Action Recognition in Videos
- 7. 译：Two-Stream Convolutional Networks for Action Recognition in Videos.md
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相关文章
- 1. 《Two-Stream Convolutional Networks for Action Recognition in Videos》论文笔记
- 2. Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition--论文笔记
- 3. Two-Stream RNN/CNN for Action Recognition in 3D Videos－阅读笔记
- 4. Two-Stream SR-CNNs for Action Recognition in Videos
- 5. 译：Two-stream convolutional networks for action recognition in videos
- 6. 译：Two-Stream Convolutional Networks for Action Recognition in Videos
- 7. 译：Two-Stream Convolutional Networks for Action Recognition in Videos.md
- 8. 译：Convolutional Two-Stream Network Fusion for Video Action Recognition
- 9. 论文阅读：Two-Stream Convolutional Networks for Action Recognition in Videos
- 10. 【论文笔记，action recognition,动做识别】