How to track and segment fish without human annotations: a self-supervised deep learning approach

Tracking fish movements and sizes of fish is crucial to understanding their ecology and behaviour. Knowing where fish migrate, how they interact with their environment, and how their size affects their behaviour can help ecologists develop more effective conservation and management strategies to pro...

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Veröffentlicht in:	Pattern analysis and applications : PAA 2024-03, Vol.27 (1), Article 4
Hauptverfasser:	Saleh, Alzayat, Sheaves, Marcus, Jerry, Dean, Rahimi Azghadi, Mostafa
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Computer Science Deep learning Ecological effects Fish Image annotation Labels Machine learning Optical flow (image analysis) Pattern Recognition Theoretical Advances Tracking Underwater Video data
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