Research Challenges, Recent Advances, and Popular Datasets in Deep Learning-Based Underwater Marine Object Detection: A Review

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 4; p. 1990
• Main Authors: Er, Meng Joo, Chen, Jie, Zhang, Yani, Gao, Wenxiao
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 10.02.2023; MDPI
• Subjects: Artificial intelligence; Cameras; Datasets; Deep learning; image quality degradation; Marine sciences; Natural resources; poor generalization; popular datasets; R&D; Research & development; Review; Robots; Semantics; small object detection; underwater marine object detection; vision; popular datasets; small object detection; vision; image quality degradation; poor generalization; underwater marine object detection

Underwater marine object detection, as one of the most fundamental techniques in the community of marine science and engineering, has been shown to exhibit tremendous potential for exploring the oceans in recent years. It has been widely applied in practical applications, such as monitoring of under...