The spatial attention mechanism captures long-range dependencies by
aggr...
Graph convolutional networks (GCNs) have achieved great success in deali...
This paper presents a sensor-level mapless collision avoidance algorithm...
This paper presents the development of a control system for vision-guide...
In recent years, Unmanned Surface Vehicles (USV) have been extensively
d...
Timely disaster risk management requires accurate road maps and prompt d...
Satellite images are an extremely valuable resource in the aftermath of
...
LiDAR provides highly accurate 3D point clouds. However, data needs to b...
Explainability is an important factor to drive user trust in the use of
...
Although current deep learning methods have achieved impressive results ...
A versatile and effective approach to meta-learning is to infer a
gradie...
A new type of segmentation-based semantic feature (SegSF) for multi-temp...
In this paper, we address the semantic segmentation task with a deep net...
Standard neural network architectures are non-linear only by virtue of a...
Caricatures are facial drawings by artists with exaggeration on certain
...
This paper presents a computationally efficient yet powerful binary fram...