Abstract: Domain adaptive object detection (DAOD) aims to develop a detector trained on labeled source domains to identify objects in unlabeled target domains. A primary challenge in DAOD is the ...

Humanoid robots are increasingly capable of performing complex real-world tasks, but many still struggle with dexterous object manipulation and navigation in dynamic environments. Carnegie Mellon ...

Abstract: The detection of traffic objects in aerial scenes holds significant application potential in both military and civilian sectors. However, current aerial traffic object detection techniques ...