[HTML][HTML] Applications of deep learning in fish habitat monitoring: A tutorial and survey

A Saleh, M Sheaves, D Jerry, MR Azghadi - Expert Systems with …, 2024 - Elsevier
Marine ecosystems and their fish habitats are becoming increasingly important due to their
integral role in providing a valuable food source and conservation outcomes. Due to their …

[HTML][HTML] A survey on fish classification techniques

MK Alsmadi, I Almarashdeh - Journal of King Saud University-Computer …, 2022 - Elsevier
Fish classification (FC) is an expansively studied problem in the domains of image
segmentation, pattern recognition, and information retrieval. It has been applied in a …

Computer vision and deep learning for fish classification in underwater habitats: A survey

A Saleh, M Sheaves, M Rahimi Azghadi - Fish and Fisheries, 2022 - Wiley Online Library
Marine scientists use remote underwater image and video recording to survey fish species
in their natural habitats. This helps them get a step closer towards understanding and …

Naive Bayesian fusion based deep learning networks for multisegmented classification of fishes in aquaculture industries

NS Abinaya, D Susan, R Kumar - Ecological Informatics, 2021 - Elsevier
Fish classification is an essential requirement for biomass estimation, disease identification,
and quality analysis. In aquaculture industries, fish classification is carried out in the …

Deep convolutional neural network-based system for fish classification

A Al Smadi, A Mehmood, A Abugabah… - … Journal of Electrical …, 2022 - zuscholars.zu.ac.ae
In computer vision, image classification is one of the potential image processing tasks.
Nowadays, fish classification is a wide considered issue within the areas of machine …

Fine-Grained Fish Classification from small to large datasets with Vision Transformers

RJM Veiga, JMF Rodrigues - IEEE Access, 2024 - ieeexplore.ieee.org
Fish species Fine-Grained Visual Classification (FGVC) is important for ecological research,
environmental management, and biodiversity monitoring, as accurate fish species …

Automated freshwater fish species classification using deep CNN

J Deka, S Laskar, B Baklial - Journal of The Institution of Engineers (India) …, 2023 - Springer
Freshwater fish is considered a poor man's protein supplement as they are easily available
in lakes, rivers, natural ponds, paddy fields, beels, and fisheries. There are various …

A Metric-Based Few-Shot Learning Method for Fish Species Identification with Limited Samples

J Lu, S Zhang, S Zhao, D Li, R Zhao - Animals, 2024 - mdpi.com
Simple Summary To address the challenge of limited sample size in fish data, we improved
the prototypical networks to enhance model accuracy. In this study, an attention module was …

Bangladeshi indigenous fish classification using convolutional neural networks

K Dey, MM Hassan, MM Rana… - 2021 International …, 2021 - ieeexplore.ieee.org
Fish is an important part of Bangladeshi culture and cuisine. Fish is the main and sometimes
the only source of protein in the rural household of Bangladesh. Moreover, thousands of …

Development of object detection and classification with YOLOv4 for similar and structural deformed fish

A Kuswantori, T Suesut, W Tangsrirat… - EUREKA: Physics and …, 2022 - papers.ssrn.com
Food scarcity is an issue of concern due to the continued growth of the human population
and the threat of global warming and climate change. Increasing food production is …