阅读论文《Loss Functions for Image Restoration With Neural Networks》
这是去年计算成像学领域的一篇论文（连接：https://ieeexplore.ieee.org/document/7797130/ ），重在讨论如何损失函数对图像恢复的影响。在目前的图像恢复任务中主要使用的仍是L2损失函数，L2损失的好处有不少，例如能够直接提升PSNR等指标。可是L2指标与人类感知的图像质量相关性较差，例如其假设噪声与图像的局部区域无关。在有些状况下，L1损失函数得到的图像
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相关文章
- 1. 阅读论文《Loss Functions for Image Restoration With Neural Networks》
- 2. 《Bag of Tricks for Image Classification with Convolutional Neural Networks》论文阅读笔记
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- 10. 论文阅读：《Convolutional Neural Networks for Sentence Classification》