Unsupervised fish trajectory tracking and segmentation

A Saleh, M Sheaves, D Jerry, MR Azghadi - arXiv preprint arXiv …, 2022 - arxiv.org
DNN for fish tracking and segmentation based on high-quality labels is expensive.
Alternative unsupervised approaches rely on spatial and temporal variations that naturally …

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

A Saleh, M Sheaves, D Jerry… - Pattern Analysis and …, 2024 - Springer
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 …

Towards accurate estimation for visual object tracking with multi-hierarchy feature aggregation

J Wu, J Jiang, M Qi, X Li - Neurocomputing, 2021 - Elsevier
Many methods achieve the visual object tracking task with deep learning technologies. As
the deep features of different levels contain various semantic information and functions, this …

[引用][C] Novel deep learning architectures for marine and aquaculture applications

A Saleh - 2023 - James Cook University