SSIR: Spatial shuffle multi-head self-attention for Single Image Super-Resolution

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Zhao, Liangliang, et al. “SSIR: Spatial Shuffle Multi-Head Self-Attention for Single Image Super-Resolution”. Pattern Recognition, vol. 148, 2024, p. 110195, https://doi.org/10.1016/j.patcog.2023.110195.
Zhao, L., Gao, J., Deng, D., & Li, X. (2024). SSIR: Spatial shuffle multi-head self-attention for Single Image Super-Resolution. Pattern Recognition, 148, 110195. https://doi.org/10.1016/j.patcog.2023.110195
Zhao, Liangliang, Junyu Gao, Donghu Deng, and Xuelong Li. “SSIR: Spatial Shuffle Multi-Head Self-Attention for Single Image Super-Resolution”. Pattern Recognition 148 (2024): 110195. https://doi.org/10.1016/j.patcog.2023.110195.
Zhao L, Gao J, Deng D, Li X. SSIR: Spatial shuffle multi-head self-attention for Single Image Super-Resolution. Pattern Recognition. 2024;148:110195.
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Refrences
Title Journal Journal Categories Citations Publication Date
Lightweight image super-resolution with expectation-maximization attention mechanism IEEE Transactions on Circuits and Systems for Video Technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2021
Feature-aware adaptation and density alignment for crowd counting in video surveillance IEEE Transactions on Cybernetics
  • Technology: Mechanical engineering and machinery
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2020
Multi-grained attention networks for single image super-resolution IEEE Transactions on Circuits and Systems for Video Technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2020
Channel-wise and spatial feature modulation network for single image super-resolution IEEE Transactions on Circuits and Systems for Video Technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2019
Image super-resolution using deep convolutional networks IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2015