RankSRGAN: Super Resolution Generative Adversarial Networks With Learning to Rank.
Wenlong ZhangYihao LiuChao DongYu QiaoPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2022)
Keyphrases
- super resolution
- learning to rank
- low resolution
- high resolution
- ranking functions
- loss function
- information retrieval
- low resolution images
- document retrieval
- image super resolution
- high quality
- resolution enhancement
- ranking svm
- direct optimization
- depth map
- retrieval systems
- motion estimation
- high resolution images
- learning to rank algorithms
- generative model
- collaborative filtering
- supervised learning
- super resolution algorithm
- web search engines
- directly optimize
- super resolved
- probabilistic model
- pairwise
- super resolution reconstruction
- computational complexity
- test collection
- image representation
- reinforcement learning