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USOD10K: A New Benchmark Dataset for Underwater Salient Object Detection
IEEE Transactions on Image Processing, 2023Underwater salient object detection (USOD) is an emerging research area that has great potential for various underwater visual tasks. However, USOD research is still in its early stage due to the lack of large-scale datasets within which salient objects ...
Lin Hong, Xin Wang, Gan Zhang, Ming Zhao
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MIMIR-UW: A Multipurpose Synthetic Dataset for Underwater Navigation and Inspection
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023This paper presents MIMIR-UW, a multipurpose underwater synthetic dataset for SLAM, depth estimation, and object segmentation to bridge the gap between theory and application in underwater environments.
Olaya Álvarez-Tuñón +6 more
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USIS16K: High-Quality Dataset for Underwater Salient Instance Segmentation
arXiv.orgInspired by the biological visual system that selectively allocates attention to efficiently identify salient objects or regions, underwater salient instance segmentation (USIS) aims to jointly address the problems of where to look (saliency prediction ...
Lin Hong, Xin Wang, Yihao Li, Xia Wang
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HAUD: A High-Accuracy Underwater Dataset for Visual-Inertial Odometry
Italian National Conference on Sensors, 2021Visual-Inertial Odometry (VIO) is becoming more and more popular in underwater localization methods because of its high precision and low cost. However, due to the difficulty of obtaining ground truth in open-sea areas, existing underwater VIO datasets ...
Yang Song +5 more
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Self-supervised Monocular Underwater Depth Recovery, Image Restoration, and a Real-sea Video Dataset
IEEE International Conference on Computer Vision, 2023Underwater (UW) depth estimation and image restoration is a challenging task due to its fundamental ill-posedness and the unavailability of real large-scale UW-paired datasets.
Nisha Varghese +2 more
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Dataset on underwater change detection
OCEANS 2016 MTS/IEEE Monterey, 2016The detection of moving objects in a scene is a well researched but depending on the concrete research still often a challenging computer vision task. Usually it is the first step in a whole pipeline and all following algorithms (tracking, classification etc.) are dependent on the accuracy of the detection.
Radolko, Martin +2 more
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Underwater Object Tracking Benchmark and Dataset
2019 IEEE International Symposium on Technologies for Homeland Security (HST), 2019While there has been tremendous advancement in object tracking for open air visual data, much less work has been done for underwater object tracking. This is due to the low quality of underwater visual data. Underwater visual data suffers distortions in contrast and sharpness, as a result of refraction and absorption of light, and particles, which all ...
Landry Kezebou +3 more
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Underwater Image Quality Assessment from Synthetic to Real-world: Dataset and Objective Method
ACM Trans. Multim. Comput. Commun. Appl., 2023The complicated underwater environment and lighting conditions lead to severe influence on the quality of underwater imaging, which tends to impair underwater exploration and research.
Xinyue Li +6 more
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Underwater Image Enhancement Quality Evaluation: Benchmark Dataset and Objective Metric
IEEE transactions on circuits and systems for video technology (Print), 2022Due to the attenuation and scattering of light by water, there are many quality defects in raw underwater images such as color casts, decreased visibility, reduced contrast, et al..
Qiuping Jiang +4 more
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Underwater Acoustic Target Recognition on ShipsEar Dataset
2023The task of classifying underwater audio source has various marine-oriented applications, including maritime and environmental monitoring, detection of marine life, and underwater surveillance. However, Underwater Acoustic Target Recognition (UATR) remains challenging due to several factors.
Tam Phi, David Han
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