Advancing deep learning-based detection of floating litter using a novel open dataset
Supervised Deep Learning (DL) methods have shown promise in monitoring the floating litter in rivers and urban canals but further advancements are hard to obtain due to the limited availability of relevant labeled data. To address this challenge, researchers often utilize techniques such as transfer...
Main Authors: | Tianlong Jia, Andre Jehan Vallendar, Rinze de Vries, Zoran Kapelan, Riccardo Taormina |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-12-01
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Series: | Frontiers in Water |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/frwa.2023.1298465/full |
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