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University of Zaragoza
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ResNet50-DeepLabV3, dubbed Kelp-O-Tron, sets a new benchmark for underwater kelp segmentation, balancing accuracy and robustness across challenging conditions.
Filtering out unreliable expert annotations can transform sparse point data into high-quality segmentation masks, unlocking new potential for ecological monitoring.