Uncertainty Label-Driven Automated Tuna Catch Counting with Robust Object Tracking for Occlusion Fishing Vessels
Accurate and automated catch counting is crucial for modern fishery management, particularly in pelagic longline tuna fisheries where traditional manual methods are inefficient and error-prone. While computer vision offers solutions, its performance in complex, occlusion-heavy deck environments rema...
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| Hauptverfasser: | , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI AG
2025-11-01
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| Schriftenreihe: | Fishes |
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| Online-Zugang: | https://www.mdpi.com/2410-3888/10/11/557 |
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