• Corpus ID: 235165919

A Psychophysical Oriented Saliency Map Prediction Model

@inproceedings{Li2020APO,
  title={A Psychophysical Oriented Saliency Map Prediction Model},
  author={Qiang Li},
  year={2020}
}
  • Qiang Li
  • Published 8 November 2020
  • Computer Science
Visual attention is one of the most significant characteristics for selecting and understanding the outside redundancy world. The human vision system cannot process all information simultaneously, due to the visual information bottleneck. In order to reduce the redundant input of visual information, the human visual system mainly focuses on dominant parts of scenes. This is commonly known as visual saliency map prediction. This paper proposed a new psychophysical saliency prediction… 
Understanding Saliency Prediction with Deep Convolutional Neural Networks and Psychophysical Models
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