1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Foundation-Assisted Active Learning for Object Detection Annotation
Jinchang Zhang, Arnold Zumbrun, Jing Lin +1
The annotation cost for remote sensing object detection is high, while existing active learning methods still face several challenges in object detection scenarios, including the c…
cs.CV2026★ 1 cited
SDQM: Synthetic Data Quality Metric for Object Detection Dataset Evaluation
Ayush Zenith, Arnold Zumbrun, Neel Raut +1
The performance of machine learning models depends heavily on training data. The scarcity of large-scale, well-annotated datasets poses significant challenges in creating robust mo…