2019-02-26 論文閱讀：Learning a Single Convolutional Super-Resolution Network for Multiple Degradations..
這是CVPR2018年的論文。git 論文有開源的代碼：https://github.com/cszn/SRMDgithub 同時機器之心有相應的中文版介紹：https://www.jiqizhixin.com/articles/051301網絡 文章針對目前的用於超分辨率重建的LR圖像數據對主要是經過對HR的圖像進行下采樣獲得的，做者認爲這樣不符合實際。利用這樣的訓練集訓練獲得的網絡僅適用這樣的
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相關文章
- 1. Learning a Single Convolutional Super-Resolution Network for Multiple Degradations論文閱讀
- 2. 讀論文：Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
- 3. SRMD:Learning a Single Convolutional Super-Resolution Network for Multiple Degradations
- 4. Learning a Single Convolutional Super-Resolution Network for Multiple Degradations 論文筆記
- 5. 論文閱讀《Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching》
- 6. Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting論文閱讀
- 7. 【論文閱讀】Learning a Deep Convolutional Network for Image Super-Resolution
- 8. 【論文閱讀】Learning Deconvolution Network for Semantic Segmentation
- 9. Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations
- 10. 論文閱讀筆記：FULLY CONVOLUTIONAL MULTI-CLASS MULTIPLE INSTANCE LEARNING