The significant amount of manual efforts in annotating pixel-level labels has triggered the
advancement of unsupervised saliency learning. However without supervision signals state …

In intelligent driving systems, the multisensor fusion perception system comprising multiple
cameras and LiDAR has become a crucial component. It is essential to have stable extrinsic …

Segment Anything Model (SAM) has demonstrated powerful zero-shot segmentation
performance in natural scenes. The recently released Segment Anything Model 2 (SAM2) …

Instance segmentation is a significant way for remote sensing image interpretation. The
large number, sharp variation of sizes, and complex background of objects raise higher …

Semantic segmentation using RGB (Red-Green-Blue) images and thermal datas is an
indispensable component of autonomous driving. The key to RGB-Thermal (RGB and …

Infrared and visible image fusion (IVF) plays an important role in intelligent transportation
system (ITS). The early works predominantly focus on boosting the visual appeal of the …

In a multi-sensor fusion system composed of cameras and LiDAR, precise extrinsic
calibration contributes to the system's long-term stability and accurate perception of the …

In the field of autonomous driving, the accurate calibration of sensors significantly impacts
perception accuracy. Factors such as installation errors and mechanical vibrations …