[HTML][HTML] A comprehensive review of deep learning: Architectures, recent advances, and applications

ID Mienye, TG Swart - Information, 2024 - mdpi.com
Deep learning (DL) has become a core component of modern artificial intelligence (AI),
driving significant advancements across diverse fields by facilitating the analysis of complex …

Shuffle-RDSNet: a method for side-scan sonar image classification with residual dual-path shrinkage network

Q Ge, H Liu, Y Ma, D Han, X Zuo, L Dang - The Journal of …, 2024 - Springer
Side-scan sonar (SSS) images have a wide range of applications in underwater target
detection and recognition. However, due to the complexity of the underwater environment …

[HTML][HTML] Underwater Sonar Image Classification with Image Disentanglement Reconstruction and Zero-Shot Learning

Y Peng, H Li, W Zhang, J Zhu, L Liu, G Zhai - Remote Sensing, 2025 - mdpi.com
Sonar is a valuable tool for ocean exploration since it can obtain a wealth of data. With the
development of intelligent technology, deep learning has brought new vitality to underwater …

Synth-SONAR: Sonar Image Synthesis with Enhanced Diversity and Realism via Dual Diffusion Models and GPT Prompting

P Natarajan, K Basha, A Nambiar - arxiv preprint arxiv:2410.08612, 2024 - arxiv.org
Sonar image synthesis is crucial for advancing applications in underwater exploration,
marine biology, and defence. Traditional methods often rely on extensive and costly data …

Multi-scale feature fusion algorithm for underwater remote object detection in forward-looking sonar images

G Li, X Liao, B Chao, Y ** - Journal of Electronic Imaging, 2024 - spiedigitallibrary.org
With the increasing demand for underwater environment monitoring and remote object
identification, underwater object detection algorithms based on forward-looking sonar …