2 papers
cs.CV2026
Train, Test, Re-evaluate: Schedule-Sensitive Evaluation of Generative Data for Hand Detection
Atmika Bhardwaj, Silvia Vock, Nico Steckhan
Generated (or synthetic) image data is increasingly used to augment or replace real training datasets when target imagery is scarce, expensive, or biased. For hand detection, parti…
cs.CV2026
Semantic Robustness Probing via Inpainting: An Interactive Tool for Safety-Critical Object Detection
Nico Steckhan, Krutarth Prajapati, Weija Shao +1
Testing object detectors in safety-critical domains requires semantically meaningful probes beyond pixel-level corruptions. We present SemProbe, a tool for semantic robustness prob…