AI RESEARCH
PLAS-Net: Pixel-Level Area Segmentation for UAV-Based Beach Litter Monitoring
arXiv CS.CV
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ArXi:2604.21313v1 Announce Type: new Accurate quantification of the physical exposure area of beach litter, rather than simple item counts, is essential for credible ecological risk assessment of marine debris. However, automated UAV-based monitoring predominantly relies on bounding-box detection, which systematically overestimates the planar area of irregular litter objects. To address this geometric limitation, we develop PLAS-Net (Pixel-level Litter Area Segmentor), an instance segmentation framework that extracts pixel-accurate physical footprints of coastal debris.