SelFlow: Self-Supervised Learning of Optical Flow-CVPR19
這是CVPR19 paper reading精讀任務中的第一篇，Oral Presentation, Best Paper Final List, Top 1%，反正很屌就對了，其實是從他們團隊之前AAAI19的一篇文章進化而來的，爲了精讀這篇CVPR，我讀了他們的AAAI19,順便再go deep讀了關於知識蒸餾(knowledge distillation)的三篇稍微古老一點的paper。 N
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- 1. FlowNet: Learning Optical Flow with Convolutional Networks
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- 3. 論文筆記 之 Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow
- 4. 論文閱讀： 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. [翻譯]FlowNet: Learning Optical Flow with Convolutional Networks
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相關文章
- 1. FlowNet: Learning Optical Flow with Convolutional Networks
- 2. ProFlow: Learning to Predict Optical Flow
- 3. 論文筆記 之 Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow
- 4. 論文閱讀： 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. [翻譯]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