3 papers
cs.CV2025
Perceive, Act and Correct: Confidence Is Not Enough for Hyperspectral Classification
Muzhou Yang, Wuzhou Quan, Mingqiang Wei
Confidence alone is often misleading in hyperspectral image classification, as models tend to mistake high predictive scores for correctness while lacking awareness of uncertainty.…
cs.CV2025
AlignFreeNet: Is Cross-Modal Pre-Alignment Necessary? An End-to-End Alignment-Free Lightweight Network for Visible-Infrared Object Detection
Dingkun Zhu, Haote Zhang, Lipeng Gu +7
Cross-modal misalignments, such as spatial offsets, resolution discrepancies, and semantic deficiencies, frequently occur in visible-infrared object detection (VI-OD). To mitigate…
cs.CV2025
Equal is Not Always Fair: A New Perspective on Hyperspectral Representation Non-Uniformity
Wuzhou Quan, Mingqiang Wei, Jinhui Tang
Hyperspectral image (HSI) representation is fundamentally challenged by pervasive non-uniformity, where spectral dependencies, spatial continuity, and feature efficiency exhibit co…