Recently, contrastive learning has been proven to be powerful in cross-domain feature
learning and has been widely used in image translation tasks. However, these methods …

Adverse conditions like snow, rain, nighttime, and fog, pose challenges for autonomous
driving perception systems. Existing methods have limited effectiveness in improving …

Mitigating the impact of adverse weather on images, such as rain, haze, snow and
raindrops, poses a critical challenge in numerous computer vision tasks, particularly in …

Background The current mainstream multi‐modal medical image‐to‐image translation
methods face a contradiction. Supervised methods with outstanding performance rely on …

In the inspection stage of semiconductor manufacturing processes, hotspots detection is a
critical task for enhancing yield. Die-to-Database (D2DB) technology allows for the …

The majority of current remote sensing images possess high-radiometric resolution
exceeding 10 bits. Precisely compressing this radiometric resolution to 8 bits is crucial for …