Considering the population growth rate of recent years, a doubling of the current worldwide
crop productivity is expected to be needed by 2050. Pests and diseases are a major …

Pedestrian detection and tracking have become an important field in the computer vision
research area. This growing interest, started in the last decades, might be explained by the …

Steel surfaces may exist some defects owing to imperfect manufacturing crafts and external
factors, which seriously influence the lifespan and availability of steel. Thus, surface defect …

Infrared small target detection plays an important role in military and civilian fields while it is
difficult to be solved by deep learning (DL) technologies due to scarcity of data and strong …

In recent years, surface defect detection methods based on deep learning have been widely
used. A conflict between speed and accuracy, however, still exists. In this paper, a steel …

In this paper, we propose a novel benchmark for evaluating local image descriptors. We
demonstrate that the existing datasets and evaluation protocols do not specify …

Face recognition is one of the most common biometric authentication methods as its
feasibility while convenient use. Recently, the COVID-19 pandemic is dramatically …

In this article, we tackle the problem of depth estimation from single monocular images.
Compared with depth estimation using multiple images such as stereo depth perception …

This paper presents a content-based image retrieval technique that focuses on extraction
and reduction in multiple features. To obtain multi-level decomposition of the image by …

Coronavirus is normally transmitted from animal to person, but nowadays it is transmitted
from person to person by changing its form. Covid-19 appeared as a very dangerous virus …