Multi-object tracking (MOT) has important applications in monitoring,
lo...
Recently, the text-to-table generation task has attracted increasing
att...
In real-world systems, scaling has been critical for improving the
trans...
This paper presents the application of triangle configuration B-splines
...
Label noise is ubiquitous in various machine learning scenarios such as
...
The visual simultaneous localization and mapping(vSLAM) is widely used i...
Explaining deep learning models is of vital importance for understanding...
Context modeling plays a significant role in building multi-turn dialogu...
At present, the existing gait recognition systems are focusing on develo...
Image super-resolution (SR) methods can generate remote sensing images w...
Offline Chinese handwriting text recognition is a long-standing research...
Localization on 3D data is a challenging task for unmanned vehicles,
esp...
Meta-learning methods have been extensively studied and applied in compu...
Image Super-Resolution (SR) is an important class of image processing
te...