SelFlow: Self-Supervised Learning of Optical Flow-CVPR19
这是CVPR19 paper reading精读任务中的第一篇，Oral Presentation, Best Paper Final List, Top 1%，反正很屌就对了，其实是从他们团队之前AAAI19的一篇文章进化而来的，为了精读这篇CVPR，我读了他们的AAAI19,顺便再go deep读了关于知识蒸馏(knowledge distillation)的三篇稍微古老一点的paper。 N
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- 1. FlowNet: Learning Optical Flow with Convolutional Networks
- 2. ProFlow: Learning to Predict Optical Flow
- 3. 论文笔记 之 Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow
- 4. 论文阅读： GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose(CVPR2018)
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- 7. FlowNet2.0:Evolution of Optical Flow Estimation with Deep Networks
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相关文章
- 1. FlowNet: Learning Optical Flow with Convolutional Networks
- 2. ProFlow: Learning to Predict Optical Flow
- 3. 论文笔记 之 Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow
- 4. 论文阅读： GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose(CVPR2018)
- 5. FlowNet 2.0 Evolution of Optical Flow Estimation with Deep Networks
- 6. (2018)All-optical machine learning using diffractive deep neural networks
- 7. FlowNet2.0:Evolution of Optical Flow Estimation with Deep Networks
- 8. [翻译]FlowNet: Learning Optical Flow with Convolutional Networks
- 9. Application of deep learning in Industrial area
- 10. FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks