A Selective Re-learning Mechanism for Hyperspectral Fusion Imaging
Yuanye Liu, Jinyang Liu, Renwei Dian, Shutao Li
2025Year
3Top-tier citations
Abstract
High spatial fidelity (a) Spatial-Spectral Structure-Guided Selective Re-learning Mechanism (b) PSNR-FLOPs-Params Comparisons PSNR (dB) Params (M)
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Cited by top-tier papers3
- Enhancing Unregistered Hyperspectral Image Super-Resolution via Unmixing-based Abundance Fusion LearningYingkai Zhang, Tao Zhang, Jing Nie, Ying FuCVPR 2026 · 6 citations
- Structure-Aware Riemannian Flow Matching for Registration and Fusion of Hyperspectral and Multispectral ImagesQuan Zhang, Jun Li, Weilong Zhu, MINGYANG LI et al.ICML 2026
- CO²IF: Language-Bridging Hyperspectral-Multispectral Image Fusion with Coordinated and Cross-modal Optimal TransportMingjin Zhang, Zhongkai Yang, Fei GaoAAAI 2026
Builds on5
- Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image ReconstructionYuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang et al.CVPR 2022 · 310 citations
- CAMixerSR: Only Details Need More "Attention"Yan Wang, Yi Liu, Shijie Zhao, Junlin Li et al.CVPR 2024 · 60 citations
- Learning Tensor Low-Rank Prior for Hyperspectral Image ReconstructionShipeng Zhang, Lizhi Wang, Lei Zhang, Hua HuangCVPR 2021
- Toward Stable, Interpretable, and Lightweight Hyperspectral Super-ResolutionWen-jin Guo, Weiying Xie, Kai Jiang, Yunsong Li et al.CVPR 2023
- ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data CharacteristicXiangtao Kong, Hengyuan Zhao, Yu Qiao, Chao DongCVPR 2021
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