Live Fish Species Classification in Underwater Images by Using Convolutional Neural Networks Based on Incremental Learning with Knowledge Distillation Loss

Live Fish Species Classification in Underwater Images by Using Convolutional Neural Networks Based on Incremental Learning with Knowledge Distillation Loss

Nowadays, underwater video systems are largely used by marine ecologists to study the biodiversity in underwater environments. These systems are non-destructive, do not perturb the environment and generate a large amount of visual data usable at any time. However, automatic video analysis requires e...

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Bibliographic Details
Main Authors: Abdelouahid Ben Tamou, Abdesslam Benzinou, Kamal Nasreddine
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Machine Learning and Knowledge Extraction
Subjects:
underwater image
fish recognition
deep learning
convolutional neural network
incremental learning
knowledge distillation loss
Online Access:https://www.mdpi.com/2504-4990/4/3/36

Internet

https://www.mdpi.com/2504-4990/4/3/36

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