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A systematic review and analysis of deep learning-based underwater object detection
Underwater object detection is one of the most challenging research topics in computer
vision technology. The complex underwater environment makes underwater images suffer …
vision technology. The complex underwater environment makes underwater images suffer …
Blockchain and autonomous vehicles: Recent advances and future directions
Blockchain is an underlying technology for securing many real-time applications and their
data. The automobile is one such sector in which auto-manufacturers are looking forward to …
data. The automobile is one such sector in which auto-manufacturers are looking forward to …
Research challenges, recent advances, and popular datasets in deep learning-based underwater marine object detection: A review
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 …
community of marine science and engineering, has been shown to exhibit tremendous …
Map** of coral reefs with multispectral satellites: a review of recent papers
Coral reefs are an essential source of marine biodiversity, but they are declining at an
alarming rate under the combined effects of global change and human pressure. A precise …
alarming rate under the combined effects of global change and human pressure. A precise …
Research on an Underwater Object Detection Network Based on Dual-Branch Feature Extraction
X Chen, M Yuan, C Fan, X Chen, Y Li, H Wang - Electronics, 2023 - mdpi.com
Underwater object detection is challenging in computer vision research due to the complex
underwater environment, poor image quality, and varying target scales, making it difficult for …
underwater environment, poor image quality, and varying target scales, making it difficult for …
Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future
Underwater object detection (UOD), aiming to identify and localise the objects in underwater
images or videos, presents significant challenges due to the optical distortion, water …
images or videos, presents significant challenges due to the optical distortion, water …
Research challenges, recent advances and benchmark datasets in deep-learning-based underwater marine object detection: A review
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 …
community of marine science and engineering, has been shown to exhibit tremendous …
Image Feature Extraction Methods for Structure Detection from Underwater Imagery
P Roberts, P Helmholz… - … Archives of the …, 2023 - isprs-archives.copernicus.org
The use of autonomous underwater vehicles (AUVs) for surveying underwater infrastructure
presents a potential cost saving in comparison to remotely operated vehicles (ROVs). One of …
presents a potential cost saving in comparison to remotely operated vehicles (ROVs). One of …
Effect of optical magnification on the detection of the reduced scattering coefficient in the blue regime: theory and experiments
Imaging turbid media is range limited. In contrast, sensing the medium's optical properties is
possible in larger depths using the iterative multi-plane optical properties extraction …
possible in larger depths using the iterative multi-plane optical properties extraction …
A Novel Underwater Marine Dataset with Diverse Scenarios for Robust Object Detection
S Bhalla, A Kumar, R Kushwaha - Proceedings of the 2024 Sixteenth …, 2024 - dl.acm.org
Underwater object detection is a critical aspect of marine exploration, environmental
monitoring, and underwater robotics, demanding robust and efficient solutions. This study …
monitoring, and underwater robotics, demanding robust and efficient solutions. This study …