This paper reviews the NTIRE 2023 challenge on efficient single-image super-resolution
with a focus on the proposed solutions and results. The aim of this challenge is to devise a …

Abstract “Unmanned aerial vehicles”(UAVs) are now being used for a wide range of
surveillance applications. Specifically, the detection of on-ground vehicles from UAV images …

The detection of small infrared targets with low signal-to-noise ratios (SNRs) and contrasts in
noisy and cluttered backgrounds is challenging and therefore a domain of active research …

Medical data are present in large amount and this is difficult to process for the diagnosis and
Healthcare organization requires effective technique to handle big data. Existing techniques …

Advanced communications and networks have greatly improved the user experience, and
unmanned aerial vehicle (UAV) are an important technology that supports people's daily life …

Weather disturbances, difficult backgrounds, the shading of fruit and foliage, and other
elements can significantly affect automated yield estimation and picking in small target apple …

Abstract Unmanned Aerial Vehicle (UAV) aerial photography object detection has high
research significance in the fields of disaster rescue, ecological environmental protection …

In remote sensing images, change detection (CD) is required in many applications, such as:
resource management, urban expansion research, land management, and disaster …

In smart cities, target detection is one of the major issues in order to avoid traffic congestion.
It is also one of the key topics for military, traffic, civilian, sports, and numerous other …

Scene classification aims to classify various objects and land use classes such as farms,
highways, rivers, and airplanes in the remote sensing images. In recent times, the …