AI RESEARCH
SeamCam: Quantifying Seamless Camouflage via Multi-Cue Visual Detectability
arXiv CS.LG
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ArXi:2605.16515v1 Announce Type: cross Animals are described as effectively camouflaged when they blend seamlessly with their surrounding, yet no standardized quantitative measure of this seamlessness exists. We address this gap by framing camouflage evaluation as a visual localization problem: a well-camouflaged animal is one that remains difficult to detect even when its category is known. We