DATR: Unsupervised Domain Adaptive Detection Transformer with
Dataset-Level Adaptation and Prototypical Alignment
DATR: Unsupervised Domain Adaptive Detection Transformer with
Dataset-Level Adaptation and Prototypical Alignment
Object detectors frequently encounter significant performance degradation when confronted with domain gaps between collected data (source domain) and data from real-world applications (target domain). To address this task, numerous unsupervised domain adaptive detectors have been proposed, leveraging carefully designed feature alignment techniques. However, these techniques primarily align instance-level features in …