[行为识别] Two –Stream CNN for Action Recognition in Videos
这篇文章发表于2014 NIPS。也是牛津大学产出的。在这篇文章出来之前其实也有人尝试用深度学习来处理行为识别，例如李飞飞团队【Large-scale video classification with】通过叠加视频多帧输入到网络中进行学习，但是不幸的是这种方法比手动提取特征更加糟糕。当这篇文章出来以后才意味着深度学习在行为识别中迈出了重大的一步。 一、前言 这里主要阐述了论文的三个主要贡献点。
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- 1. Two-Stream SR-CNNs for Action Recognition in Videos
- 2. 译：Two-stream convolutional networks for action recognition in videos
- 3. 译：Two-Stream Convolutional Networks for Action Recognition in Videos
- 4. 视频动作识别--Two-Stream Convolutional Networks for Action Recognition in Videos
- 5. Two-Stream RNN/CNN for Action Recognition in 3D Videos－阅读笔记
- 6. Two-Stream Convolutional Networks for Action Recognition in Videos（summary part）
- 7. 《Two-Stream Convolutional Networks for Action Recognition in Videos》论文笔记
- 8. 动作识别阅读笔记(一)《Two-Stream Convolutional Networks for Action Recognition in Videos》
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相关文章
- 1. Two-Stream SR-CNNs for Action Recognition in Videos
- 2. 译：Two-stream convolutional networks for action recognition in videos
- 3. 译：Two-Stream Convolutional Networks for Action Recognition in Videos
- 4. 视频动作识别--Two-Stream Convolutional Networks for Action Recognition in Videos
- 5. Two-Stream RNN/CNN for Action Recognition in 3D Videos－阅读笔记
- 6. Two-Stream Convolutional Networks for Action Recognition in Videos（summary part）
- 7. 《Two-Stream Convolutional Networks for Action Recognition in Videos》论文笔记
- 8. 动作识别阅读笔记(一)《Two-Stream Convolutional Networks for Action Recognition in Videos》
- 9. Two-Stream Convolutional Networks for Action Recognition in Videos翻译
- 10. Two-Stream Convolutional Networks for Action Recognition in Videos读书笔记