Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence網絡結構分析
《Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence》這篇文章選自2020CVPR，是一篇可以沒有對照乾淨組及其他先驗信息輸入的視頻去雨文章。 網絡結構如下： 該網絡一共有三個部分，WarpingNet，PredNet和EHNet。 WarpingNet： Wa
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相關文章
- 1. 論文閱讀：Rain Streak Removal for Single Image via Kernel Guided CNN
- 2. 黃東旭：When TiDB Meets Kubernetes
- 3. 【論文閱讀】Deep Joint Rain Detection and Removal from a Single Image
- 4. Depth-attentional Features for Single-image Rain Removal
- 5. VGG網絡結構分析
- 6. Adversarial Spatio-Temporal Learning for Video Deblurring
- 7. What Makes a Video a Video :Analyzing Temporal Information in Video Understanding Models and Dataset
- 8. A Model-driven Deep Neural Network for Single Image Rain Removal閱讀分享
- 9. 神經網絡架構搜索——可微分搜索（Cyclic-DARTS）
- 10. 論文閱讀：Deep Joint Rain Detection and Removal from a Single Image