Deep Back-Projection Networks For Super-Resolution
Deep Back-Projection Networks For Super-Resolution 简介 近年来提出的超分辨网络多为前馈结构，学习HR和LR的非线性映射。然而，这些方法不能解决LR和HR的相互依赖关系（address the mutual dependencies of low- and high-resolution images）。 之前的研究表明，人类的视觉系统可能使用反馈
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相关文章
- 1. Deep Neural Networks for Object Detection
- 2. Very Deep Convolutional Networks for Text Classification
- 3. Aggregated Residual Transformations for Deep Neural Networks
- 4. Onion-Peel Networks for Deep Video Completion
- 5. 【超分辨率】Enhanced Deep Residual Networks for Single Image Super-Resolution
- 6. Neural Networks and Deep Learning -- Class 4: Deep Neural Networks
- 7. (35) [arXiv17] Very Deep Convolutional Networks for Text Classification
- 8. Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts
- 9. Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution
- 10. Channel Pruning for Accelerating Very Deep Neural Networks