論文閱讀：Self-Refining Deep Symmetry Enhanced Network for Rain Removal
努力提升自己纔是最應該做的。 2019 ICIP：Self-Refining DSEN 這篇文章主要提出了一種自細化的深度對稱增強網絡，並且引入了一種旋轉等變特徵的概念(rotation equivariant features)，還挺有意思. 代碼：SDSEN 現有的大部分方法都是基於卷積神經網絡CNN進行構建的，但是CNN對物體旋轉不具有等變性，導致這些方法不適合處理傾斜的雨紋。 本文提出的深
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相關文章
- 1. 【論文閱讀】Clearing the Skies: A deep network architecture for single-image rain removal
- 2. 論文閱讀：Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal
- 3. 論文閱讀：Fast Single Image Rain Removal via a Deep Decomposition-Composition Network
- 4. A Model-driven Deep Neural Network for Single Image Rain Removal閱讀分享
- 5. 【論文閱讀】Deep Joint Rain Detection and Removal from a Single Image
- 6. 論文閱讀：Deep Joint Rain Detection and Removal from a Single Image
- 7. 論文閱讀：Rain Streak Removal for Single Image via Kernel Guided CNN
- 8. 【論文閱讀】Semi-supervised Transfer Learning for Image Rain Removal
- 9. 論文閱讀：Removing rain from single images via a deep detail network
- 10. 【論文閱讀】Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining