AI RESEARCH
End-to-End Unmixing with Material Prompts for Hyperspectral Object Tracking
arXiv CS.CV
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ArXi:2605.20569v1 Announce Type: new Hyperspectral imagery encodes rich material properties that can improve tracking robustness under appearance ambiguity, illumination change, and background clutter. However, due to the limited availability of hyperspectral video data, many existing methods adapt pretrained RGB trackers via spatial or channel fusion strategies, largely neglecting the intrinsic material information in hyperspectral imagery.