Latest Articles for Domain Adaptation

A unified framework for efficient computer vision tasks using minimal data.

CICLD model enhances semantic segmentation, bridging the gap between synthetic and real-world imagery.

New methods enhance object recognition in varying weather using synthetic data.

Teams innovate in character recognition through the DAGECC competition.

A novel framework improves pose estimation by adapting to real-world challenges.