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VisualNet: An End-to-End Human Visual System Inspired Framework to Reduce Inference Latency of Deep Neural Networks.

Tianchen WangJiawei ZhangJinjun XiongSong BianZheyu YanMeiping HuangJian ZhuangTakashi SatoXiaowei XuYiyu Shi
Published in: IEEE Trans. Computers (2022)
Keyphrases
  • end to end
  • human visual system
  • image quality
  • human perception
  • visual quality
  • human vision
  • quality assessment
  • high frequency
  • visual information
  • image quality assessment
  • congestion control
  • image quality metrics