3 papers
cs.CV2026
Images as Tables: In-Context Learning with TabPFN for Low-Data Detection of AI-Generated Images
Jan Philip Walter, Shashank Agnihotri, Margret Keuper
AI-generated image detection is a moving-target problem: detectors trained on one generator often fail when a new generator appears, and only a few labeled examples are available.…
cs.CV2026
CROC: Evaluating and Training T2I Metrics with Pseudo- and Human-Labeled Contrastive Robustness Checks
Christoph Leiter, Yuki M. Asano, Margret Keuper +1
The assessment of evaluation metrics (meta-evaluation) is crucial for determining the suitability of existing metrics in text-to-image (T2I) generation tasks. Human-based meta-eval…
cs.CV2025
Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models
Patrick Müller, Alexander Braun, Margret Keuper
Deep neural networks (DNNs) have proven to be successful in various computer vision applications such that models even infer in safety-critical situations. Therefore, vision models…