Underwater Object Detection Using TC-YOLO with Attention Mechanisms. [PDF]
Sensors (Basel), 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 ...
Liu K, Peng L, Tang S.
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Monocular Vision-Based Underwater Object Detection. [PDF]
Sensors (Basel), 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
Chen Z, Zhang Z, Dai F, Bu Y, Wang H.
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Class-incremental few-shot underwater object detection framework. [PDF]
Sci RepUnderwater object detection is vital for marine exploration and ecological monitoring. However, due to the low-quality original characteristics of underwater images, the diversity changes of underwater species, and the scarcity of samples, existing ...
Zhao X, Zhou B, Wang Y.
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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.
Jie Chen, Meng Joo Er
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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 ...
Wei Song
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BG-YOLO: A Bidirectional-Guided Method for Underwater Object Detection. [PDF]
Sensors (Basel)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 ...
Cao R, Zhang R, Yan X, Zhang J.
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A diffusion model-based image generation framework for underwater object detection. [PDF]
Commun EngUnderwater object detection plays a crucial role in applications such as marine ecological monitoring and underwater rescue operations. However, challenges such as limited underwater data availability and low scene diversity hinder detection accuracy. In
Zhuang Y +8 more
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Optimized YOLOv8s framework with deformable convolution for underwater object detection. [PDF]
Sci RepThe booming aquatic economy drives demand for underwater object detection, which faces key challenges: small/occluded targets, variable object morphologies, and turbidity-induced low image quality.
Wang X, Li K, Fan F, Wu Y, Zhang Y.
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An integration of ensemble deep learning with hybrid optimization approaches for effective underwater object detection and classification model. [PDF]
Sci RepUnderwater object detection (UOD) is essential in maritime environmental study and underwater species protection. The development of associated technology holds real-world importance.
Abirami G +6 more
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YOLO-Starfish: fish object detection learning complex underwater features. [PDF]
Sci RepUnlike many other fields of object detection, underwater object detection presents some unique challenges. Underwater object detection is a key technology that enables underwater robots to explore aquatic environments.
Gong R, Xu J, Zheng Z, Zhang D.
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