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Monocular Vision-Based Underwater Object Detection [PDF]

Sensors, 2017
In this paper, we propose an underwater object detection method using monocular vision sensors. In addition to commonly used visual features such as color and intensity, we investigate the potential of underwater object detection using light transmission
Zhe Chen, Zhen Zhang, Fengzhao Dai, Yang Bu, Huibin Wang   +4 more
doaj   +6 more sources

Underwater Object Detection Using TC-YOLO with Attention Mechanisms

Sensors, 2023
Underwater object detection is a key technology in the development of intelligent underwater vehicles. Object detection faces unique challenges in underwater applications: blurry underwater images; small and dense targets; and limited computational ...
Kun Liu, Lei Peng, Shanran Tang
doaj   +4 more sources

BG-YOLO: A Bidirectional-Guided Method for Underwater Object Detection [PDF]

Sensors
Degraded underwater images decrease the accuracy of underwater object detection. Existing research uses image enhancement methods to improve the visual quality of images, which may not be beneficial in underwater image detection and lead to serious ...
Ruicheng Cao, Ruiteng Zhang, Xinyue Yan, Jian Zhang   +3 more
doaj   +6 more sources

Optical Prior-Based Underwater Object Detection with Active Imaging

Complexity, 2021
Underwater object detection plays an important role in research and practice, as it provides condensed and informative content that represents underwater objects.
Jie Shen, Zhenxin Xu, Zhe Chen, Huibin Wang, Xiaotao Shi   +4 more
doaj   +2 more sources

Self-Supervised Pre-Training Joint Framework: Assisting Lightweight Detection Network for Underwater Object Detection

Journal of Marine Science and Engineering, 2023
In the computer vision field, underwater object detection has been a challenging task. Due to the attenuation of light in a medium and the scattering of light by suspended particles in water, underwater optical images often face the problems of color ...
Zhuo Wang, Haojie Chen, Hongde Qin, Qin Chen   +3 more
doaj   +2 more sources

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

Sensors, 2023
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.
Meng Joo Er, Jie Chen, Yani Zhang, Wenxiao Gao   +3 more
doaj   +3 more sources

Lightweight Underwater Object Detection Based on YOLO v4 and Multi-Scale Attentional Feature Fusion

Remote Sensing, 2021
A challenging and attractive task in computer vision is underwater object detection. Although object detection techniques have achieved good performance in general datasets, problems of low visibility and color bias in the complex underwater environment ...
Minghua Zhang, Shubo Xu, Wei Song, Qi He, Quanmiao Wei   +4 more
doaj   +3 more sources

Wavelet-Transform Based Fast Underwater Salient Object Detection Algorithm [PDF]

Jisuanji gongcheng, 2023
Ground-based salient object detection has made significant advances;however, the complexity of underwater scenes has led to many challenges in underwater salient object detection.For rapid detection of salient objects in complex underwater environments ...
SUN Xinyue, LI Qingzhong
doaj   +1 more source

Underwater object detection and datasets: a survey

Intelligent Marine Technology and Systems
AbstractThe rapidly growing exploitation and utilization of marine resources by humans has sparked considerable interest in underwater object detection tasks. Targets captured in underwater environments differ significantly from those captured in general images owing to various factors, such as water turbidity, complex background conditions, and ...
Hanjiang Luo, Muwei Jian
exaly   +2 more sources

A Fusion Underwater Salient Object Detection Based on Multi-Scale Saliency and Spatial Optimization

Journal of Marine Science and Engineering, 2023
Underwater images contain abundant information, but many challenges remain for underwater object detection tasks. Various salient object detection methods may encounter low detection precision, and the segmented map has an incomplete region of the target
Weiliang Huang, Daqi Zhu, Mingzhi Chen
doaj   +1 more source