publié le: 2023
Deep learning has been extensively researched in the field of document analysis and has shown excellent performance across a wide range of document-re...
This paper presents a complete workflow designed for extracting information from Quebec handwritten parish registers. The acts in these documents cont...
In recent years, research on few-shot learning (FSL) has been fast-growing in the 2D image domain due to the less requirement for labeled training dat...
Recently, the cross-domain object detection task has been raised by reducing the domain disparity and learning domain invariant features. Inspired by...
Depth completion aims to predict a dense depth map from a sparse depth input. The acquisition of dense ground-truth annotations for depth completion s...
