A Selective Re-learning Mechanism for Hyperspectral Fusion Imaging
Yuanye Liu, Jinyang Liu, Renwei Dian, Shutao Li
2025年份
3顶会引用
摘要
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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引用它的顶会 Paper3
- Enhancing Unregistered Hyperspectral Image Super-Resolution via Unmixing-based Abundance Fusion LearningYingkai Zhang, Tao Zhang, Jing Nie, Ying FuCVPR 2026 · 被引用 6 次
- Structure-Aware Riemannian Flow Matching for Registration and Fusion of Hyperspectral and Multispectral ImagesQuan Zhang, Jun Li, Weilong Zhu, MINGYANG LI 等ICML 2026
- CO²IF: Language-Bridging Hyperspectral-Multispectral Image Fusion with Coordinated and Cross-modal Optimal TransportMingjin Zhang, Zhongkai Yang, Fei GaoAAAI 2026
它引用的顶会 Paper5
- Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image ReconstructionYuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang 等CVPR 2022 · 被引用 310 次
- CAMixerSR: Only Details Need More "Attention"Yan Wang, Yi Liu, Shijie Zhao, Junlin Li 等CVPR 2024 · 被引用 60 次
- 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 等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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