176 citations · 178 across the 2 of their papers we have counts for
3 papers
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,…
A Realistic Fish-Habitat Dataset to Evaluate Algorithms for Underwater Visual Analysis
Alzayat Saleh, Issam H. Laradji, Dmitry A. Konovalov +3
Visual analysis of complex fish habitats is an important step towards sustainable fisheries for human consumption and environmental protection. Deep Learning methods have shown gre…
Underwater Fish Detection with Weak Multi-Domain Supervision
Dmitry A. Konovalov, Alzayat Saleh, Michael Bradley +3
Given a sufficiently large training dataset, it is relatively easy to train a modern convolution neural network (CNN) as a required image classifier. However, for the task of fish…