In recent decades, scientific and technological developments have continued to increase in
speed, with researchers focusing not only on the innovation of single technologies but also …

Receipts OCR has made a significant improvement on accounting, which has attracted
much attention of the research community in the field of computer vision as well as natural …

Deep learning (DL) methods have been widely studied and applied in the field of computer
vision (CV) over the past decades. The biggest disadvantage of classic DL methods is that …

In the world of autonomous systems and aerial surveillance, the quest to efficiently detect
vehicles in diverse environmental conditions has emerged as a pivotal challenge. While …

Recent growth in deep learning has opened up many opportunities for the problem of
vehicle detection. Detecting objects in poor visibility is catching scientists attention. In this …

Observational studies of human behaviour often require the annotation of objects in video
recordings. Automatic object detection has been facilitated strongly by the development of …

The development of technological devices, such as satellites and drones, has made it easier
to collect images and videos from the air. From these vast data sources, the problem of …

This paper addresses the critical challenge of vehicle detection in the harsh winter
conditions in the Nordic regions, characterized by heavy snowfall, reduced visibility, and low …

Automatic event recognition in sports photos is both an interesting and valuable research
topic in the field of computer vision and deep learning. With the rapid increase and the …

In recent years, deep learning (DL) techniques have achieved remarkable success in
various fields of computer vision. This progress was attributed to the vast amounts of data …