[骨架动作识别]A New Representation of Skeleton Sequences for 3D Action Recognition
A New Representation of Skeleton Sequences for 3D Action Recognition CVPR 2017 本文的主要思想是将３d骨架坐标转换成图片，然后再用卷积网络提取特征，时域上的特征通过特殊的卷积核来提取，以达到时序记忆的目的。 一、主要方法 1.New Representation 每一段3d skeleton sequence都转换成四张
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相关文章
- 1. 论文翻译：A New Representation of Skeleton Sequences for 3D Action Recognition
- 2. [骨架动作识别]数据集
- 3. [骨架动作识别]STA-LSTM: Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data
- 4. Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition(动作识别)
- 5. Representation Flow for Action Recognition
- 6. Self-Attention Network for Skeleton-based Human Action Recognition
- 7. 【CVPR2017，action recognition,动作识别】Quo Vadis, Action Recognition? A New Model and the Kinetics Datase...
- 8. Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
- 9. Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
- 10. 动作识别——Multi-Model Domain Adaptation for Fine-Grained Action Recognition——CVPR2020 oral