Results 21 to 30 of about 1,866,820 (291)
Journal of Marine Science and Engineering, 2021 When underwater vehicles work, underwater images are often absorbed by light and scattered and diffused by floating objects, which leads to the degradation of underwater images.
Kai Hu +5 more
doaj +1 more source
Artificial Underwater Dataset: Generating Custom Images Using Deep Learning Models
Volume 5B: Ocean Engineering; Honoring Symposium for Professor Günther F. Clauss on Hydrodynamics and Ocean Engineering, 2022 The rapid developments in underwater operations by the offshore industry and the scientific community have led to more sophisticated Underwater Vehicles.
Ioannis Polymenis +3 more
semanticscholar +1 more source
Improving Underwater Visual Tracking With a Large Scale Dataset and Image Enhancement [PDF]
arXiv.org, 2023 This paper presents a new dataset and general tracker enhancement method for Underwater Visual Object Tracking (UVOT). Despite its significance, underwater tracking has remained unexplored due to data inaccessibility.
B. Alawode +8 more
semanticscholar +1 more source
Image Semantic Segmentation of Underwater Garbage with Modified U-Net Architecture Model
Sensors, 2022 Autonomous underwater garbage grasping and collection pose a great challenge to underwater robots. To assist underwater robots in locating and recognizing underwater garbage objects efficiently, a modified U-Net-based architecture consisting of a deeper ...
Lifu Wei +3 more
doaj +1 more source
Underwater Camouflage Object Detection Dataset
, 2023 We have made a dataset of camouflage object detection mainly for complex seabed scenes, and named it UnderWater RGB&Sonar,or UW-RS for short. The UW-RS dataset contains a total of 1972 image data. The dataset mainly consists of two parts, namely underwater optical data part (UW-R dataset) and underwater sonar data part (UW-S dataset).
Dong, Feng, Zhu, Jinchao
openaire +2 more sources
Underwater inspection and intervention dataset
, 2021 This paper presents a novel dataset for the development of visual navigation and simultaneous localisation and mapping (SLAM) algorithms as well as for underwater intervention tasks. It differs from existing datasets as it contains ground truth for the vehicle's position captured by an underwater motion tracking system.
Luczynski, Tomasz +7 more
openaire +2 more sources
Research on Underwater Complex Scene SLAM Algorithm Based on Image Enhancement
Sensors, 2022 Underwater images typically suffer from less explicit feature point information and more redundant information due to wild conditions. To solve these degradation problems, we propose the VINS-MONO algorithm to enhance the quality of the underwater image.
Renhan Wu, Yuzhuo Gao
doaj +1 more source
Automated classification of three-dimensional reconstructions of coral reefs using convolutional neural networks [PDF]
, 2020 © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Hopkinson, B. M., King, A. C., Owen, D. P., Johnson-Roberson, M., Long, M. H., & Bhandarkar, S.
Bhandarkar, Suchendra M. +5 more
core +1 more source
A Dataset with Multibeam Forward-Looking Sonar for Underwater Object Detection [PDF]
Scientific Data, 2022 Multibeam forward-looking sonar (MFLS) plays an important role in underwater detection. There are several challenges to the research on underwater object detection with MFLS. Firstly, the research is lack of available dataset.
Kaibing Xie, Jian Yang, Kang Qiu
semanticscholar +1 more source
UID2021: An Underwater Image Dataset for Evaluation of No-Reference Quality Assessment Metrics [PDF]
ACM Trans. Multim. Comput. Commun. Appl., 2022 Achieving subjective and objective quality assessment of underwater images is of high significance in underwater visual perception and image/video processing.
Guojia Hou +4 more
semanticscholar +1 more source