Exploring Categorical Regularization for Domain Adaptive Object Detection
Exploring Categorical Regularization for Domain Adaptive Object Detection
In this paper, we tackle the domain adaptive object detection problem, where the main challenge lies in significant domain gaps between source and target domains. Previous work seeks to plainly align image-level and instance-level shifts to eventually minimize the domain discrepancy. However, they still overlook to match crucial image regions …