[HTML][HTML] Class-aware fish species recognition using deep learning for an imbalanced dataset

SY Alaba, MM Nabi, C Shah, J Prior, MD Campbell… - Sensors, 2022 - mdpi.com
Fish species recognition is crucial to identifying the abundance of fish species in a specific
area, controlling production management, and monitoring the ecosystem, especially …

FishNet: A large-scale dataset and benchmark for fish recognition, detection, and functional trait prediction

FF Khan, X Li, AJ Temple… - Proceedings of the …, 2023 - openaccess.thecvf.com
Aquatic species are essential components of the world's ecosystem, and the preservation of
aquatic biodiversity is crucial for maintaining proper ecosystem functioning. Unfortunately …

[HTML][HTML] Estimating precision and accuracy of automated video post-processing: A step towards implementation of ai/ml for optics-based fish sampling

JH Prior, MD Campbell, M Dawkins… - Frontiers in Marine …, 2023 - frontiersin.org
Increased necessity to monitor vital fish habitat has resulted in proliferation of camera-based
observation methods and advancements in camera and processing technology. Automated …

[HTML][HTML] Spatial-temporal transformer network for multi-year ENSO prediction

D Song, X Su, W Li, Z Sun, T Ren, W Liu… - Frontiers in Marine …, 2023 - frontiersin.org
The El Niño-Southern Oscillation (ENSO) is a quasi-periodic climate type that occurs near
the equatorial Pacific Ocean. Extreme periods of this climate type can cause terrible weather …

Semi-supervised learning for fish species recognition

SY Alaba, C Shah, MM Nabi, JE Ball… - Ocean Sensing and …, 2023 - spiedigitallibrary.org
Fish species recognition and detection are essential for fishery industries. Accurate and
robust species classification and detection play a vital role in monitoring fish activities and …

An enhanced YOLOv5 model for fish species recognition from underwater environments

C Shah, SY Alaba, MM Nabi, J Prior… - Ocean Sensing and …, 2023 - spiedigitallibrary.org
Species recognition is an important aspect of video based surveys, which support stock
assessments, inspecting the ecosystem, handling production management, and protecting …

[HTML][HTML] Transferable Deep Learning Model for the Identification of Fish Species for Various Fishing Grounds

T Hasegawa, K Kondo, H Senou - Journal of Marine Science and …, 2024 - mdpi.com
The digitization of catch information for the promotion of sustainable fisheries is gaining
momentum globally. However, the manual measurement of fundamental catch information …

A zero shot detection based approach for fish species recognition in underwater environments

C Shah, MM Nabi, SY Alaba, J Prior… - OCEANS 2023-MTS …, 2023 - ieeexplore.ieee.org
Identification of fish species is vital for fisheries management, stock assessments, protection
of endangered species, and ecosystem management. Image based surveys often deploy …

Probabilistic model-based active learning with attention mechanism for fish species recognition

MM Nabi, C Shah, SY Alaba, J Prior… - OCEANS 2023-MTS …, 2023 - ieeexplore.ieee.org
Accurate fish species identification is essential for stock assessments, production
management, document ecosystem changes, and protection of endangered species. Image …

FishTrack23: An Ensemble Underwater Dataset for Multi-Object Tracking

M Dawkins, J Prior, B Lewis… - Proceedings of the …, 2024 - openaccess.thecvf.com
Tracking and classifying fish in optical underwater imagery presents several challenges
which are encountered less frequently in terrestrial domains. Video may contain large …