论文阅读笔记：Blind Video Quality Assessment With Weakly Supervised Learning and Resampling Strategy
论文PDF：Blind Video Quality Assessment With Weakly Supervised Learning and Resampling Strategy 摘要 在本文中，提出了一个通用的无参考VQA框架，该框架基于带卷积神经网络（CNN）和重采样策略的弱监督学习。 首先，通过弱监督学习来训练八层CNN，以构造视频块的3D离散余弦变换的变形与通过全参考（FR）VQA
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相关文章
- 1. 文献阅读笔记5 On the Use of Deep Learning for Blind Image Quality Assessment（2D）
- 2. Image Quality Assessment,IQA and Video Quality Assessment,VQA
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- 4. 论文阅读笔记：A brief introduction to weakly supervised learning
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