《Lightweight Image Super-Resolution with Information Multi-distillation Network》論文閱讀
原文與代碼 github地址 論文的貢獻（Contributions）： （1）提出了輕量級的信息多重蒸餾網絡（IMDN）以及它的基本組成塊（IMDB） （2）提出了基於對比度的通道注意力（ Contrast-aware channel attention(CCA) ） （3）提出了自適應裁剪策略（ Adaptive cropping strategy(ACS) ） （4）發現了執行速度受網絡的深
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相關文章
- 1. 文獻閱讀:Lightweight Image Super-Resolution with Information Multi-distillation Network (ACMM2019)
- 2. 論文閱讀：Lightweight Pyramid Networks for Image Deraining
- 3. 論文閱讀：Singe Image Rain Removal with Unpaired Information: A Differentiable Programming Perspective
- 4. [論文閱讀] CTPN---Detecting Text in Natural Image with Connectionist Text Proposal Network
- 5. 【論文閱讀】Feedback Network for Image Super-Resolution
- 6. Reflective Decoding Network for Image Captioning論文閱讀
- 7. Residual Attention Network for Image Classification 論文閱讀
- 8. 論文閱讀-PEPSI : Fast Image Inpainting with Parallel Decoding Network
- 9. Lightweight Image Super-Resolution with Adaptive Weighted Learning Network
- 10. 【論文閱讀】AlexNet:ImageNet Classification with Deep Covolutional Network