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 …

MDD-ShipNet: Math-Data Integrated Defogging for Fog-Occlusion Ship Detection

N Wang, Y Wang, Y Feng, Y Wei - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
For maritime autonomous surface ships, challenges exist in visual detection of ships in sea
foggy scenarios, thereby severely degrading visual detection autonomy. In this paper, math …

TGADHead: An efficient and accurate task-guided attention-decoupled head for single-stage object detection

F Zuo, J Liu, Z Chen, M Fu, L Wang - Knowledge-Based Systems, 2024 - Elsevier
In object detection, localization and classification of the targets are two fundamental
subtasks that underpin the application of many knowledge-based intelligent models in …

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 survey of maritime vision datasets

L Su, Y Chen, H Song, W Li - Multimedia Tools and Applications, 2023 - Springer
The field of computer vision has been applied in many topics and scenes, especially in the
shipping business which occupies a large position in the world trade. With the development …

A variational inference method for few-shot learning

J Xu, B Liu, Y Xiao - IEEE Transactions on Circuits and Systems …, 2022 - ieeexplore.ieee.org
Existing few-shot learning (FSL) methods usually treat each sample as a single feature point
or utilize intra-class feature transformation to augment features. However, few-shot novel …

A LiDAR Point Clouds Dataset of Ships in a Maritime Environment

Q Zhang, L Wang, H Meng, W Zhang… - IEEE/CAA Journal of …, 2024 - ieeexplore.ieee.org
For the first time, this article introduces a LiDAR Point Clouds Dataset of Ships composed of
both collected and simulated data to address the scarcity of LiDAR data in maritime …

A comprehensive review of datasets and deep learning techniques for vision in Unmanned Surface Vehicles

L Trinh, S Mercelis, A Anwar - arXiv preprint arXiv:2412.01461, 2024 - arxiv.org
Unmanned Surface Vehicles (USVs) have emerged as a major platform in maritime
operations, capable of supporting a wide range of applications. USVs can help reduce labor …

Towards real-world haze removal with uncorrelated graph model

X Meng, Y Feng, F Zhou, Y Liang, Z Su - Journal of Visual Communication …, 2023 - Elsevier
The scene restoration effect of the dehazing algorithms usually suffers from double quality
interference. First, the dehazing methods based on the atmospheric scattering model (ASM) …

[HTML][HTML] MASSNet: Multiscale Attention for Single-Stage Ship Instance Segmentation

R Sharma, M Saqib, CT Lin, M Blumenstein - Neurocomputing, 2024 - Elsevier
Maritime surveillance is essential in understanding, predicting, and ensuring the security of
events in the complex marine environment. In this context, we have used instance …