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Learning Exhaustive Correlation for Spectral Super-Resolution: Where
  Spatial-Spectral Attention Meets Linear Dependence

Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence

20 December 2023
Hongyuan Wang
Lizhi Wang
Jiang Xu
Chang Chen
Xue Hu
Fenglong Song
Youliang Yan
ArXivPDFHTML

Papers citing "Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence"

3 / 3 papers shown
Title
S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction
S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction
Jiamian Wang
Kunpeng Li
Yulun Zhang
X. Yuan
Zhiqiang Tao
25
4
0
24 Sep 2022
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral
  Compressive Imaging
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging
Yuanhao Cai
Jing Lin
Haoqian Wang
Xin Yuan
Henghui Ding
Yulun Zhang
Radu Timofte
Luc Van Gool
80
116
0
20 May 2022
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight
  Transformer
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer
Zhihe Lu
Sen He
Xiatian Zhu
Li Zhang
Yi-Zhe Song
Tao Xiang
ViT
171
173
0
06 Aug 2021
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