• Corpus ID: 237485602

BAM: A Balanced Attention Mechanism for Single Image Super Resolution

@inproceedings{Wang2021BAMAB,
  title={BAM: A Balanced Attention Mechanism for Single Image Super Resolution},
  author={Fanyi Wang and Haotian Hu and Cheng Shen},
  year={2021}
}
  • Fanyi Wang, Haotian Hu, Cheng Shen
  • Published 15 April 2021
  • Engineering, Computer Science
Recovering texture information from the aliasing regions has always been a major challenge for Single Image Super Resolution (SISR) task. These regions are often submerged in noise so that we have to restore texture details while suppressing noise. To address this issue, we propose a Balanced Attention Mechanism (BAM), which consists of Avgpool Channel Attention Module (ACAM) and Maxpool Spatial Attention Module (MSAM) in parallel. ACAM is designed to suppress extreme noise in the large scale… 

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References

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