A systematic review and analysis of deep learning-based underwater object detection

S Xu, M Zhang, W Song, H Mei, Q He, A Liotta - Neurocomputing, 2023 - Elsevier
Underwater object detection is one of the most challenging research topics in computer
vision technology. The complex underwater environment makes underwater images suffer …

Blockchain and autonomous vehicles: Recent advances and future directions

S Jain, NJ Ahuja, P Srikanth, KV Bhadane… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

Research challenges, recent advances, and popular datasets in deep learning-based underwater marine object detection: A review

MJ Er, J Chen, Y Zhang, W Gao - Sensors, 2023 - mdpi.com
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 …

Map** of coral reefs with multispectral satellites: a review of recent papers

T Nguyen, B Liquet, K Mengersen, D Sous - Remote Sensing, 2021 - mdpi.com
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 …

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 Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future

L Chen, Y Huang, J Dong, Q Xu, S Kwong, H Lu… - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

Research challenges, recent advances and benchmark datasets in deep-learning-based underwater marine object detection: A review

MJ Er, C Jie - Authorea Preprints, 2023 - techrxiv.org
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 …

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 …

Effect of optical magnification on the detection of the reduced scattering coefficient in the blue regime: theory and experiments

C Shapira, I Yariv, R Ankri, H Duadi, D Fixler - Optics Express, 2021 - opg.optica.org
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 …

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 …