31 citations · 47 across the 3 of their papers we have counts for
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cs.CV2026
PLAS-Net: Pixel-Level Area Segmentation for UAV-Based Beach Litter Monitoring
Yongying Liu, Jiaqi Wang, Jian Song +6
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. Howeve…
cs.CV2024★ 31 cited
Riverbed litter monitoring using consumer-grade aerial-aquatic speedy scanner (AASS) and deep learning based super-resolution reconstruction and detection network
Fan Zhao, Yongying Liu, Jiaqi Wang +5
Underwater litter is widely spread across aquatic environments such as lakes, rivers, and oceans, significantly impacting natural ecosystems. Current monitoring technologies for de…
cs.CV2024★ 16 cited
Enhanced hermit crabs detection using super-resolution reconstruction and improved YOLOv8 on UAV-captured imagery
Fan Zhao, Yijia Chen, Dianhan Xi +4
Hermit crabs play a crucial role in coastal ecosystems by dispersing seeds, cleaning up debris, and disturbing soil. They serve as vital indicators of marine environmental health,…