AI RESEARCH
SWNet: A Cross-Spectral Network for Camouflaged Weed Detection
arXiv CS.AI
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ArXi:2604.16147v1 Announce Type: cross This paper presents SWNet, a bimodal end-to-end cross-spectral network specifically engineered for the detection of camouflaged weeds in dense agricultural environments. Plant camouflage, characterized by homochromatic blending where invasive species mimic the phenotypic traits of primary crops, poses a significant challenge for traditional computer vision systems.