PieAPP: Perceptual Image-Error Assessment Through Pairwise Preference

@article{Prashnani2018PieAPPPI,
  title={PieAPP: Perceptual Image-Error Assessment Through Pairwise Preference},
  author={Ekta Prashnani and Hong Cai and Yasamin Mostofi and Pradeep Sen},
  journal={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2018},
  pages={1808-1817}
}
  • Ekta Prashnani, Hong Cai, +1 author Pradeep Sen
  • Published 2018
  • Computer Science
  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
  • The ability to estimate the perceptual error between images is an important problem in computer vision with many applications. Although it has been studied extensively, however, no method currently exists that can robustly predict visual differences like humans. Some previous approaches used hand-coded models, but they fail to model the complexity of the human visual system. Others used machine learning to train models on human-labeled datasets, but creating large, high-quality datasets is… CONTINUE READING

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