2020ECCV VSR Video Super-Resolution with Recurrent Structure-Detail Network
Video Super-Resolution with Recurrent Structure-Detail Network 1.总结 作者提出的网络将输入分成了结构和细节两部分，这些部分被送入到由几个proposed two-stream struct-detail模块。另外，引入了自适应隐藏层模块，允许当前帧可以有选择地使用来自隐藏层状态的信息，可以增强对外观变化和累积错误的鲁棒性。 分析比较
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相关文章
- 1. 《Recurrent Back-Projection Network for Video Super-Resolution》论文阅读
- 2. DeepAR:Probabilistic forecasting with autoregressive recurrent network
- 3. 《Recurrent Back-Projection Network for Video Super-Resolution》论文阅读之RBPN
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- 6. VSR论文笔记二|Robust Video Super-Resolution with Learned Temporal Dynamics
- 7. Recurrent Neural Network for Text Classification with Multi-Task Learning
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