Unsupervised fish trajectory tracking and segmentation
DNN for fish tracking and segmentation based on high-quality labels is expensive.
Alternative unsupervised approaches rely on spatial and temporal variations that naturally …
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
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 …
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 …
the deep features of different levels contain various semantic information and functions, this …