A guide to image and video based small object detection using deep learning: Case study of maritime surveillance

AM Rekavandi, L Xu, F Boussaid… - arXiv preprint arXiv …, 2022 - arxiv.org
Small object detection (SOD) in optical images and videos is a challenging problem that
even state-of-the-art generic object detection methods fail to accurately localize and identify …

Multi-scale object detection model for autonomous ship navigation in maritime environment

Z Shao, H Lyu, Y Yin, T Cheng, X Gao… - Journal of Marine …, 2022 - mdpi.com
Accurate detection of sea-surface objects is vital for the safe navigation of autonomous
ships. With the continuous development of artificial intelligence, electro-optical (EO) sensors …

A Joint Ship Detection and Waterway Segmentation Method for Environment-Aware of USVs in Canal Waterways

X Yang, H She, M Lou, H Ye, J Guan… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The canal waterways of China still play an important role in the logistics and transportation
industry. Unmanned technology helps to reduce costs and improve the safety of navigation …

ATT-YOLOv5-Ghost: water surface object detection in complex scenes

L Deng, Z Liu, J Wang, B Yang - Journal of Real-Time Image Processing, 2023 - Springer
Abstract In recent years, Unmanned Surface Vehicles (USVs) have been widely used in
water surface monitoring and management. The main problems of the USVs-based water …

DANet: Dual-branch activation network for small object instance segmentation of ship images

Y Sun, L Su, S Yuan, H Meng - IEEE Transactions on Circuits …, 2023 - ieeexplore.ieee.org
In maritime scenes, instance segmentation of small object ships is of vital importance. Small
ship objects in images have the characteristics of smaller size, lower image cover rate and …

A lightweight detection algorithm for unmanned surface vehicles based on multi-scale feature fusion

L Zhang, X Du, R Zhang, J Zhang - Journal of Marine Science and …, 2023 - mdpi.com
Lightweight detection methods are frequently utilized for unmanned system sensing;
however, when put in complicated water surface environments, they suffer from insufficient …

Solving floating pollution with deep learning: A novel SSD for floating objects based on continual unsupervised domain adaptation

R Chen, J Wu, Y Peng, Z Li, H Shang - Engineering Applications of Artificial …, 2023 - Elsevier
Intelligent identification and monitoring of floating materials is extremely crucial in water
environment management as floating pollution severely damages water ecosystems …

[HTML][HTML] Object Detection and Tracking in Maritime Environments in Case of Person-Overboard Scenarios: An Overview

F Hoehner, V Langenohl, S Akyol, O el Moctar… - Journal of Marine …, 2024 - mdpi.com
We examine the current state of the art and the related research on the automated detection
and tracking of small objects—or persons—in the context of a person-overboard (POB) …

Illumination Adaptive Multi-Scale Water Surface Object Detection with Intrinsic Decomposition Augmentation

Z Zhou, Z Li, J Sun, L Xu, X Zhou - Journal of Marine Science and …, 2023 - mdpi.com
Visual object detection is an essential task for the intelligent navigation of an Unmanned
Surface Vehicle (USV), which can sense the obstacles while navigating. However, the harsh …

Watervg: Waterway visual grounding based on text-guided vision and mmwave radar

R Guan, L Jia, F Yang, S Yao, E Purwanto… - arXiv preprint arXiv …, 2024 - arxiv.org
The perception of waterways based on human intent is significant for autonomous
navigation and operations of Unmanned Surface Vehicles (USVs) in water environments …