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 …
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 …
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 …
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 …
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 …
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 …
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 …
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
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 …
operations, capable of supporting a wide range of applications. USVs can help reduce labor …
Towards real-world haze removal with uncorrelated graph model
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) …
interference. First, the dehazing methods based on the atmospheric scattering model (ASM) …
[HTML][HTML] MASSNet: Multiscale Attention for Single-Stage Ship Instance Segmentation
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 …
events in the complex marine environment. In this context, we have used instance …