Results 11 to 20 of about 5,597,306 (275)
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 +4 more
doaj +2 more sources
Underwater Camouflage Object Detection Dataset
CoRR, 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).
Feng Dong, Jinchao Zhu
openaire +3 more sources
SWIPENET: Object detection in noisy underwater scenes
Pattern Recognition, 2022 Deep learning based object detection methods have achieved promising performance in controlled environments. However, these methods lack sufficient capabilities to handle underwater object detection due to these challenges: (1) images in the underwater ...
Long Chen 0019 +7 more
core +8 more sources
Excavating RoI Attention for Underwater Object Detection
2022 IEEE International Conference on Image Processing (ICIP), 2022 Self-attention is one of the most successful designs in deep learning, which calculates the similarity of different tokens and reconstructs the feature based on the attention matrix. Originally designed for NLP, self-attention is also popular in computer vision, and can be categorized into pixel-level attention and patch-level attention.
Xutao Liang, Pinhao Song
openaire +4 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 +2 more sources
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 +3 more
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Underwater Object Detection using Tensorflow [PDF]
ITM Web of Conferences, 2020 Object Detection is a popular technology that detects instances within an image. In order to eliminate the barriers in Computer Vision technology due to the dissolution of the BGR(Blue-Green-Red) constituents with the increase in depth, it has been a necessity that the accuracy and efficiency of detecting any object underwater is optimum.
Mahavarkar Avinash +3 more
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A Comparison of Deep Learning Approach for Underwater Object Detection [PDF]
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 In recent years, marine ecosystems and fisheries have become potential resources. Therefore, monitoring these objects will be essential to ensure their existence.
Nurcahyani Wulandari +2 more
doaj +2 more sources
UICE-MIRNet guided image enhancement for underwater object detection. [PDF]
Sci RepUnderwater object detection is a crucial aspect of monitoring the aquaculture resources to preserve the marine ecosystem. In most cases, Low-light and scattered lighting conditions create challenges for computer vision-based underwater object detection ...
Sarkar P, De S, Gurung S, Dey P.
europepmc +2 more sources
Investigation of Vision-Based Underwater Object Detection with Multiple Datasets [PDF]
International Journal of Advanced Robotic Systems, 2015 In this paper, we investigate the potential of vision-based object detection algorithms in underwater environments using several datasets to highlight the issues arising in different scenarios.
Dario Lodi Rizzini +3 more
doaj +2 more sources