A systematic review and analysis of deep learning-based underwater object detection

S Xu, M Zhang, W Song, H Mei, Q He, A Liotta - Neurocomputing, 2023 - Elsevier
Underwater object detection is one of the most challenging research topics in computer
vision technology. The complex underwater environment makes underwater images suffer …

Underwater object detection: architectures and algorithms–a comprehensive review

S Fayaz, SA Parah, GJ Qureshi - Multimedia Tools and Applications, 2022 - Springer
Underwater object detection is an essential step in image processing and it plays a vital role
in several applications such as the repair and maintenance of sub-aquatic structures and …

[HTML][HTML] Lightweight underwater object detection based on yolo v4 and multi-scale attentional feature fusion

M Zhang, S Xu, W Song, Q He, Q Wei - Remote Sensing, 2021 - mdpi.com
A challenging and attractive task in computer vision is underwater object detection. Although
object detection techniques have achieved good performance in general datasets, problems …

[HTML][HTML] Underwater target detection based on improved YOLOv7

K Liu, Q Sun, D Sun, L Peng, M Yang… - Journal of Marine Science …, 2023 - mdpi.com
Underwater target detection is a crucial aspect of ocean exploration. However, conventional
underwater target detection methods face several challenges such as inaccurate feature …

SWIPENET: Object detection in noisy underwater scenes

L Chen, F Zhou, S Wang, J Dong, N Li, H Ma, X Wang… - Pattern Recognition, 2022 - Elsevier
Deep learning based object detection methods have achieved promising performance in
controlled environments. However, these methods lack sufficient capabilities to handle …

Deep learning-based visual detection of marine organisms: A survey

N Wang, T Chen, S Liu, R Wang, HR Karimi, Y Lin - Neurocomputing, 2023 - Elsevier
Most recently, deep learning-based visual detection has attracted rapidly increasing
attention paid to marine organisms, thereby expecting to significantly benefit ocean ecology …

A dataset and benchmark of underwater object detection for robot picking

C Liu, H Li, S Wang, M Zhu, D Wang… - … on multimedia & …, 2021 - ieeexplore.ieee.org
Underwater object detection for robot picking has attracted a lot of interest. However, it is still
an unsolved problem due to several challenges. We take steps towards making it more …

A reinforcement learning paradigm of configuring visual enhancement for object detection in underwater scenes

H Wang, S Sun, X Bai, J Wang… - IEEE Journal of Oceanic …, 2023 - ieeexplore.ieee.org
This article investigates the problem of enhancing underwater visual observations for the
purpose of accurate underwater object detection. Most existing underwater visual …

[HTML][HTML] Research challenges, recent advances, and popular datasets in deep learning-based underwater marine object detection: A review

MJ Er, J Chen, Y Zhang, W Gao - Sensors, 2023 - mdpi.com
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 …

Underwater species detection using channel sharpening attention

L Jiang, Y Wang, Q Jia, S Xu, Y Liu, X Fan… - Proceedings of the 29th …, 2021 - dl.acm.org
With the continuous exploration of marine resources, underwater artificial intelligent robots
play an increasingly important role in the fish industry. However, the detection of underwater …