31 citations · 56 across the 5 of their papers we have counts for
5 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…
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…
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,…
ECRTime: Ensemble Integration of Classification and Retrieval for Time Series Classification
Fan Zhao, You Chen
Deep learning-based methods for Time Series Classification (TSC) typically utilize deep networks to extract features, which are then processed through a combination of a Fully Conn…