Aug 2026· Journal of Real-Time Image Processing· Vol 23· 0 citations· 28 references
TL;DR
The proposed UW-D-FINE, an enhanced real-time detector addressing underwater object detection challenges through three key innovations, enhances the backbone by integrating parallel multi-scale convolutional branches with omnidirectional depthwise convolutions, enabling more effective extraction of discriminative features from color-degraded images.
Results support the effectiveness of the proposed framework for mixed-scale underwater object detection, including small-scale objects, and compare with the YOLOv11 baseline.
Experimental results demonstrate that the proposed Bidirectional weighted Concat with Efficient multi-scale Attention You Only Look Once (BCEA-YOLO) method outperforms competing methods for underwater object detection, and edge deployment tests on the NVIDIA Jetson platform validate its real-time inference efficiency.
Xing-Yu Wang, Yu-Han Lin, Quan J. Wang et al.· Intelligent Marine Technolog...· 0 citations
Underwater object detection is of significant practical importance for marine resource exploration, underwater robotic navigation, and marine ecological monitoring. However, underwater images are often severely degraded by light attenuation and scattering, suspended particulates, and complex background interference. Th...
Feng Zou, Botong Zhou, Jia-Qi Ma et al.· Journal of Real-Time Image P...· 0 citations
Abstract. Due to complex underwater illumination and scattering effects, underwater images commonly suffer from color distortion, low contrast, and structural blur. These distortions not only reduce visual perceptual quality but also severely limit the performance of downstream object detection tasks. Although existing...
Rong He, Fen Chen, Lian Huang et al.· Journal of Electronic Imagin...· 0 citations
A novel underwater target detection framework that integrates feature enhancement with semantic-spatial guided fusion, built upon the RT-DETR architecture, that significantly reduces false positives and missed detections while maintaining real-time performance is proposed.
P. Parashar, A. Kushwah· Discover Computing· 0 citations
Underwater object detection techniques for marine resource exploration, underwater engineering inspection, and AUV intelligent operations face three major demands: high precision, low latency, and embeddable deployment. In natural underwater environments, complex interferences such as water scattering, wavelength-selec...
Cuan Hao, Shu-Cheng Li, Weifeng Jing et al.· Frontiers in Marine Science· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.