Abstract RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent
years. In the past decade, it has received wide attention and made a lot of important …

The accurate infrared thermal image instance segmentation of substation equipment is a
prerequisite for intelligent analysis of its temperature status. To address the issues of low …

Segmentation of insulators from complex images is a critical step for automatic fault
inspection. However, it remains challenging in backlight scene parsing due to the visible …

Camera and LiDAR are indispensable perception units in autonomous driving, providing
complementary environmental information for 3D semantic segmentation. It is the key point …

Perimeter intrusion is a fatal threat to high-speed railway operation safety. IR (Infrared) and
VIS (Visible light) image fusion can significantly enhance detection performance. Image …

Stable and reliable operation of high-speed railway requires continuous and reliable power
supply of traction substation, and isolating switch is one of the most important electrical …

The existing research on fire detection is basically based on a two-stage method, resulting in
slower detection speed, and the positioning accuracy is limited by the first-stage candidate …

Bounding boxes have been widely implemented into aerial object detection for their
simplicity. They perform instance-level locations with the coordinates and orientation for …

Training a deep convolutional neural network (DCNN) to detect defects in substation
equipment often requires many defect datasets. However, this dataset is not easily acquired …

Among the existing insulator defect detection methods, the automatic detection of inspection
robots based on the instance segmentation algorithm is relatively more efficient, but the …