The results of the study validated the effectiveness of two data augmentation methods. Especially, the generative adversarial nets approach gave a new path to ...
A study was carried out to underwater image classification with deep convolutional neural networks and the classification ability was improved with two data ...
To increase the amount of training data, Allken et al. (2019) developed a deep vision system for data augmentation, achieving a 94% classification accuracy ...
Dec 1, 2022 · This paper proposes an underwater target classification algorithm based on the improved flow direction algorithm (FDA) and search agent strategy.
Jun 23, 2024 · (2023). A comparative study of different CNN models and transfer learning effect for underwater object classification in side-scan sonar images.
The proposed system was trained with several underwater images based on CNN models, which are independent to each sort of underwater image formation.
The proposed deep underwater image classification model (DUICM) uses a convolutional neural network (CNN), a machine learning algorithm, for automatic ...
Duration: 7:15
Posted: Aug 2, 2023
Posted: Aug 2, 2023
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In this paper, the proposed model contains three steps to deal with the recognition of underwater targets: feature extraction, data augmentation and deep neural ...
Jan 23, 2023 · The purpose of this paper is to present a systematic method for analyzing recent underwater pipeline imagery using deep learning.