4 papers
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…
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…
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,…
Multi-label classification for multi-temporal, multi-spatial coral reef condition monitoring using vision foundation model with adapter learning
Xinlei Shao, Hongruixuan Chen, Fan Zhao +5
Coral reef ecosystems provide essential ecosystem services, but face significant threats from climate change and human activities. Although advances in deep learning have enabled a…