3 papers
cs.CV2026
DisasterVQA: A Visual Question Answering Benchmark Dataset for Disaster Scenes
Aisha Al-Mohannadi, Ayisha Firoz, Yin Yang +2
Social media imagery provides a low-latency source of situational information during natural and human-induced disasters, enabling rapid damage assessment and response. While Visua…
cs.CV2025
VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and Beyond
Noora Al-Emadi, Ingmar Weber, Yin Yang +1
Detecting vehicles in satellite images is crucial for traffic management, urban planning, and disaster response. However, current models struggle with real-world diversity, particu…
cs.CV2025
Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery
Sara Al-Emadi, Yin Yang, Ferda Ofli
Object detectors have achieved remarkable performance in many applications; however, these deep learning models are typically designed under the i.i.d. assumption, meaning they are…