A systematic review and analysis of deep learning-based underwater object detection
Underwater object detection is one of the most challenging research topics in computer
vision technology. The complex underwater environment makes underwater images suffer …
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 …
in several applications such as the repair and maintenance of sub-aquatic structures and …
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 …
object detection techniques have achieved good performance in general datasets, problems …
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 …
underwater target detection methods face several challenges such as inaccurate feature …
SWIPENET: Object detection in noisy underwater scenes
Deep learning based object detection methods have achieved promising performance in
controlled environments. However, these methods lack sufficient capabilities to handle …
controlled environments. However, these methods lack sufficient capabilities to handle …
Deep learning-based visual detection of marine organisms: A survey
Most recently, deep learning-based visual detection has attracted rapidly increasing
attention paid to marine organisms, thereby expecting to significantly benefit ocean ecology …
attention paid to marine organisms, thereby expecting to significantly benefit ocean ecology …
A reinforcement learning paradigm of configuring visual enhancement for object detection in underwater scenes
This article investigates the problem of enhancing underwater visual observations for the
purpose of accurate underwater object detection. Most existing underwater visual …
purpose of accurate underwater object detection. Most existing underwater visual …
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 …
an unsolved problem due to several challenges. We take steps towards making it more …
Research challenges, recent advances, and popular datasets in deep learning-based underwater marine object detection: A review
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 …
community of marine science and engineering, has been shown to exhibit tremendous …
Research on Underwater small target Detection Algorithm based on improved YOLOv7
W Yi, B Wang - IEEE Access, 2023 - ieeexplore.ieee.org
Target detection research has always been difficult when it comes to small target detection
in underwater situations. To address the issues of a high miss detection rate and poor …
in underwater situations. To address the issues of a high miss detection rate and poor …