2025
Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision
ICCV 2025poster
Detecting vehicles in aerial imagery is a critical task with applications in traffic monitoring, urban planning, and defense intelligence. Deep learning methods have provided state-of-the-art (SOTA) results for this application. However, a significant challenge arises when models trained on data fro…