93 citations · 111 across the 6 of their papers we have counts for
5 papers · 1 filter
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…
A lightweight Transformer-based model for fish landmark detection
Alzayat Saleh, David Jones, Dean Jerry +1
Transformer-based models, such as the Vision Transformer (ViT), can outperform onvolutional Neural Networks (CNNs) in some vision tasks when there is sufficient training data. Howe…
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…
Applications of Deep Learning in Fish Habitat Monitoring: A Tutorial and Survey
Alzayat Saleh, Marcus Sheaves, Dean Jerry +1
Marine ecosystems and their fish habitats are becoming increasingly important due to their integral role in providing a valuable food source and conservation outcomes. Due to their…
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…