View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition
这是一个论文的笔记 大致思路：对每一个动作视频选一个更好的角度进行旋转处理（这么理解，原来的数据集的摄像头的位置不咋地，导致数据集中的视频不咋地，而这篇论文做的就是给数据集中的每个视频自动找一个好的角度）然后送入主网络进行分类。 先通过view adaptation subnetwork 找到一个合适的角度，再变换，再分类 整个网络模型 如何进行变换 αt，βt，γt是沿X轴、Y轴和Z轴顺时针旋转
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- 1. 论文翻译:View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skel
- 2. 论文：3D Convolutional Neural Networks for Human Action Recognition
- 3. 3DCNN: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. Domain Adaptive Neural Networks for Object Recognition
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- 9. 《3D Convolutional Neural Networks for Human Action Recognition》论文阅读笔记
- 10. 【视频行为识别】3D Convolutional Neural Networks for Human Action Recognition：
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相关文章
- 1. 论文翻译:View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skel
- 2. 论文：3D Convolutional Neural Networks for Human Action Recognition
- 3. 3DCNN: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. Domain Adaptive Neural Networks for Object Recognition
- 7. 【论文学习】3D Convolutional Neural Networks for Human Action Recognition
- 8. 论文笔记3D Convolutional Neural Networks for Human Action Recognition
- 9. 《3D Convolutional Neural Networks for Human Action Recognition》论文阅读笔记
- 10. 【视频行为识别】3D Convolutional Neural Networks for Human Action Recognition：