705 citations
- Commonwealth Scientific and Industrial Research OrganisationAU25 papers
- UNSW SydneyAU24 papers
- Center for Astrophysics Harvard & SmithsonianUS16 papers
- Centre National de la Recherche ScientifiqueFR14 papers
- Australia Telescope National FacilityAU13 papers
- The University of SydneyAU13 papers
- University of LeedsGB12 papers
- Western Sydney UniversityAU12 papers
- Australian National UniversityAU11 papers
- University College LondonGB11 papers
- University of Southern QueenslandAU10 papers
- University of ManchesterGB9 papers
4 papers · 2 filters
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…
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…
Computer Vision and Deep Learning for Fish Classification in Underwater Habitats: A Survey
Alzayat Saleh, Marcus Sheaves, Mostafa Rahimi Azghadi
Marine scientists use remote underwater video recording to survey fish species in their natural habitats. This helps them understand and predict how fish respond to climate change,…
Contrastive Learning for Automotive mmWave Radar Detection Points Based Instance Segmentation
Weiyi Xiong, Jianan Liu, Yuxuan Xia +3
The automotive mmWave radar plays a key role in advanced driver assistance systems (ADAS) and autonomous driving. Deep learning-based instance segmentation enables real-time object…