Image Super-Resolution via Attention based Back Projection Networks
這篇文章對反饋鏈接進行了一些改進，針對sr無法在較大的上採樣倍數時無法表現出很好的圖像效果的問題，Deep Back-Projection Networks for Single Image Super-resolution這篇文章提出了反饋鏈接思想，本文對反饋鏈接進行了部分改進，上採樣的反饋鏈接輸入爲323232的圖像，先經過deconv上採樣後通過conv進行下采樣會原來的大小，此時會有像素損
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相關文章
- 1. Image Processing21（Back Projection )
- 2. Detecting Deceptive Review Spam via Attention-Based Neural Networks
- 3. Blind image quality assessment via learnable attention-based pooling
- 4. Deep Back-Projection Networks For Super-Resolution
- 5. DBPN-Deep Back-Projection Networks For Super-Resolution
- 6. 《GCAMatting：Natural Image Matting via Guided Contextual Attention》
- 7. Deep Neural Network for Fast and Accurate Single Image Super-Resolution via Channel-Attention-based
- 8. 論文閱讀筆記之——《Image Restoration via Residual Non-local Attention Networks》
- 9. MyDLNote - Enhancement : [NLA系列] Image Restoration via Residual Non-local Attention Networks
- 10. 反向投影（Back Projection）