3 papers
cs.CV2025
Adaptive deep learning framework for robust unsupervised underwater image enhancement
Alzayat Saleh, Marcus Sheaves, Dean Jerry +1
One of the main challenges in deep learning-based underwater image enhancement is the limited availability of high-quality training data. Underwater images are difficult to capture…
cs.CV2025
How to Track and Segment Fish without Human Annotations: A Self-Supervised Deep Learning Approach
Alzayat Saleh, Marcus Sheaves, Dean Jerry +1
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 the…
cs.CV2025
Overcoming Annotation Bottlenecks in Underwater Fish Segmentation: A Robust Self-Supervised Learning Approach
Alzayat Saleh, Marcus Sheaves, Dean Jerry +1
Accurate fish segmentation in underwater videos is challenging due to low visibility, variable lighting, and dynamic backgrounds, making fully-supervised methods that require manua…