MemNet: A Persistent Memory Network for Image Restoration

@article{Tai2017MemNetAP,
  title={MemNet: A Persistent Memory Network for Image Restoration},
  author={Ying Tai and Jian Yang and X. Liu and Chunyan Xu},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={4549-4557}
}
  • Ying Tai, Jian Yang, +1 author Chunyan Xu
  • Published 2017
  • Computer Science
  • 2017 IEEE International Conference on Computer Vision (ICCV)
  • Recently, very deep convolutional neural networks (CNNs) have been attracting considerable attention in image restoration. [...] Key Method The recursive unit learns multi-level representations of the current state under different receptive fields. The representations and the outputs from the previous memory blocks are concatenated and sent to the gate unit, which adaptively controls how much of the previous states should be reserved, and decides how much of the current state should be stored. We apply MemNet…Expand Abstract
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