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cs.CV2026
Making Every Step Count: Spatio-Temporal Information Allocation for Imaging Inverse Problems
Yi Cao, Xiangyong Cao, Pei Liu +2
Flow-based generative models have emerged as powerful image priors for training-free inverse problem solving, capturing coherent semantics and fine-grained structure. Despite these…
cs.CV2025
SPECIAL: Zero-shot Hyperspectral Image Classification With CLIP
Li Pang, Jing Yao, Kaiyu Li +3
Hyperspectral image (HSI) classification aims to categorize each pixel in an HSI into a specific land cover class, which is crucial for applications such as remote sensing, environ…
cs.CV2023
A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection
Kaiyu Li, Xiangyong Cao, Deyu Meng
Change detection (CD) is a critical task to observe and analyze dynamic processes of land cover. Although numerous deep learning-based CD models have performed excellently, their f…