Abductive Reasoning, has long been considered to be at the core ability of humans, which
enables us to infer the most plausible explanation of incomplete known phenomena in daily …

Re-identification (ReID) of occluded persons is a challenging task due to the loss of
information in scenes with occlusions. Most existing methods for occluded ReID use 2D …

Convolutional neural networks (CNN), especially U-shaped networks, have become the
mainstream approach for medical image segmentation. However, due to the intrinsic locality …

The accurate segmentation of clustered microcalcifications in mammography is crucial for
the diagnosis and treatment of breast cancer. Despite exhibiting expert-level accuracy …

Closed-circuit television (CCTV) systems and surveillance devices have been widely used
for monitoring the real world (eg, streets, lanes, buildings). Illumination of the nature of …

Video panoptic segmentation is a challenging task that serves as the cornerstone of
numerous downstream applications, including video editing and autonomous driving. We …

The camouflaged object segmentation (COS) task aims to segment objects visually
embedded within the background. Existing models usually rely on prior information as an …

CT-Scan is a computer-based imaging technology, but it presents certain weaknesses,
including interpretation challenges, lengthy analysis times, and visualization limitations. The …