Deep learning-based classification and detection algorithms have emerged as a powerful
tool for vehicle detection in intelligent transportation systems. The limitations of the number …

Wide-range multiscale object detection for multispectral scene perception from a drone
perspective is challenging. Previous RGB-T perception methods directly use backbone …

Panoptic segmentation is a recent and powerful task that tackles individual object
recognition (“things”) and multiple backgrounds (“stuff”) simultaneously. Remote sensing …

Vehicle classification (VC) is a prominent research domain within image processing and
machine learning (ML) for identifying vehicle volumes and traffic rule violations. In …

Accurate extraction of urban features such as buildings and roads lays the foundation for the
current trends of digital twins of urban systems to support planning, monitoring, navigation …

The containment liner plate (CLP) is a thin layer of carbon steel material applied as a base
for concrete structures protecting nuclear material. The structural health monitoring of the …

Simple Summary With the development of computer vision, more work is applied to promote
precision livestock farming. Due to the high overlap and irregular contours of sheep, it poses …

In recent years, the proliferation of vehicles on roadways, accompanied by an escalating
demand for augmented safety and refined traffic management, has fueled substantial …

Currently, deep learning-based instance segmentation for various applications (eg,
Agriculture) is predominantly performed using a labor-intensive process involving extensive …

Vehicle detection in remote sensing images is a crucial aspect of intelligent transportation
systems. It plays an essential role in road planning, congestion control, and road …