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FSD-Net achieves 85.7% AP50 and 82.5% F1-score on the UTDAC2020 dataset and 98.1% AP50 and 97.0% F1-score on the Brackish dataset. The model, proposed by Chao Zhang, uses frequency and spatial domain feature enhancement to improve detection in complex underwater conditions. The dataset, last updated on 2026-04-17, contains experimental results and ablation studies for this novel detection model.
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