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Ship detection with deep learning: A survey
MJ Er, Y Zhang, J Chen, W Gao - Artificial Intelligence Review, 2023 - Springer
Ship detection plays a pivotal role in efficient marine monitoring, port management, and safe
navigation. However, the development of ship detection techniques is vastly behind other …
navigation. However, the development of ship detection techniques is vastly behind other …
Sea-surface object detection based on electro-optical sensors: A review
Sea-surface object detection is critical for navigation safety of autonomous ships. Electro-
optical (EO) sensors, such as video cameras, complement radar on board in detecting small …
optical (EO) sensors, such as video cameras, complement radar on board in detecting small …
Transformer‐optimized generation, detection, and tracking network for images with drainage pipeline defects
D Ma, H Fang, N Wang, H Lu… - Computer‐Aided Civil …, 2023 - Wiley Online Library
Regular detection of defects in drainage pipelines is crucial. However, some problems
associated with pipeline defect detection, such as data scarcity and defect counting difficulty …
associated with pipeline defect detection, such as data scarcity and defect counting difficulty …
Exploring convolutional neural network architectures for EEG feature extraction
The main purpose of this paper is to provide information on how to create a convolutional
neural network (CNN) for extracting features from EEG signals. Our task was to understand …
neural network (CNN) for extracting features from EEG signals. Our task was to understand …
An efficient model for small object detection in the maritime environment
Environmental perception is crucial for autonomous ships realizing autonomous navigation,
in particular, the high-precision and low-latency detection of small objects on the sea surface …
in particular, the high-precision and low-latency detection of small objects on the sea surface …
A streamlined approach for intelligent ship object detection using EL-YOLO algorithm
Maritime objects frequently exhibit low-quality and insufficient feature information,
particularly in complex maritime environments characterized by challenges such as small …
particularly in complex maritime environments characterized by challenges such as small …
[HTML][HTML] GGT-YOLO: A novel object detection algorithm for drone-based maritime cruising
Y Li, H Yuan, Y Wang, C **ao - Drones, 2022 - mdpi.com
Drones play an important role in the development of remote sensing and intelligent
surveillance. Due to limited onboard computational resources, drone-based object detection …
surveillance. Due to limited onboard computational resources, drone-based object detection …
Marine vessel detection dataset and benchmark for unmanned surface vehicles
N Wang, Y Wang, Y Wei, B Han, Y Feng - Applied Ocean Research, 2024 - Elsevier
Deep learning-based visual perception of an unmanned surface vehicle (USV) essentially
benefits from informative images. It is unfortunately short of available datasets of marine …
benefits from informative images. It is unfortunately short of available datasets of marine …
An approach to ship target detection based on combined optimization model of dehazing and detection
T Liu, Z Zhang, Z Lei, Y Huo, S Wang, J Zhao… - … Applications of Artificial …, 2024 - Elsevier
The design of a ship detection model that can be adapted to both foggy and clear images
faces significant challenges. Existing methods are either not accurate enough, or have a …
faces significant challenges. Existing methods are either not accurate enough, or have a …
1st workshop on maritime computer vision (macvi) 2023: Challenge results
Abstract The 1st Workshop on Maritime Computer Vision (MaCVi)| 2023 focused on
maritime computer vision for Unmanned| Aerial Vehicles (UAV) and Unmanned Surface …
maritime computer vision for Unmanned| Aerial Vehicles (UAV) and Unmanned Surface …