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Jingsi Liu

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Open access Aug 2026

UADet: Redefining Marine Debris Detection in Degraded Underwater Scenes with Adaptive Feature and Boundary Refinement

Underwater marine debris detection is important for marine environmental monitoring, robotic inspection, and debris removal. However, reliable detection remains challenging because underwater images often suffer from low illumination, color distortion, turbidity, cluttered backgrounds, and weak boundaries. These factor...

Ying-Ying Wang, Jingsi Liu, Wen-Ru Zhang et al. · 0 citations

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