【论文复现PaddlePaddle】 Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognit
【论文复现PaddlePaddle】 # Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition（一）论文阅读 这篇文章是一篇2017ICCV ，该篇论文提出了一种基于2D ResNets 的3D ResNets网络结构。 卷积神经网络在动作识中有着较高的性能，基于CNN的动作识别的流行方
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相关文章
- 1. Spatiotemporal Residual Networks for Video Action Recognition
- 2. 论文阅读笔记（四十）：Learning Spatiotemporal Features with 3D Convolutional Networks（C3D）
- 3. 论文笔记之C3D（Learning Spatiotemporal Features with 3D Convolutional Networks）
- 4. 【论文阅读笔记】Learning Spatiotemporal Features with 3D Convolutional Networks
- 5. 时空特征--Learning Spatiotemporal Features with 3D Convolutional Networks
- 6. Learning Spatiotemporal Features with 3D Convolutional Networks 读书笔记
- 7. 论文笔记C3D：Learning Spatiotemporal Features with 3D Convolutional Networks
- 8. 论文翻译：Unsupervised Representation Learning with Long-Term Dynamics for Skeleton Based Action Recognit
- 9. 动作识别经典C3D论文Learning Spatiotemporal Features with 3D Convolutional Networks的介绍
- 10. Spatiotemporal Multiplier Networks for Video Action Recognition