Most recent methods for RGB (red–green–blue)-thermal salient object detection (SOD)
involve several floating-point operations and have numerous parameters, resulting in slow …

Semantic segmentation is a fundamental task in computer vision, and it has various
applications in fields such as robotic sensing, video surveillance, and autonomous driving. A …

COVID-19 is currently raging worldwide, with more patients being diagnosed every day. It
usually is diagnosed by examining pathological photographs of the patient's lungs. There is …

In recent years, various neural network architectures for computer vision have been devised,
such as the visual transformer and multilayer perceptron (MLP). A transformer based on an …

Understanding urban scenes is a fundamental ability requirement for assisted driving and
autonomous vehicles. Most of the available urban scene understanding methods use red …

Grey wolf optimizer (GWO) is a widespread metaphor-based algorithm based on the
enhanced variants of velocity-free particle swarm optimizer with proven defects and …

RGB–thermal scene parsing has recently attracted increasing research interest in the field of
computer vision. However, most existing methods fail to perform good boundary extraction …

Scene parsing is a fundamental task in computer vision. Various RGB-D (color and depth)
scene parsing methods based on fully convolutional networks have achieved excellent …

To improve the performance of salient object detection (SOD) in scenes with low-light
conditions (eg, nighttime) and cluttered backgrounds, infrared thermal images are used to …

We recently demonstrated the remarkable performance of scene parsing, and one of its
aspects was shown to be relevant to performance, namely, generation of multilevel feature …