Showing cs.CVShow all
2 papers · 1 filter
cs.CV2025
RePOPE: Impact of Annotation Errors on the POPE Benchmark
Yannic Neuhaus, Matthias Hein
Since data annotation is costly, benchmark datasets often incorporate labels from established image datasets. In this work, we assess the impact of label errors in MSCOCO on the fr…
cs.CV2025
DASH: Detection and Assessment of Systematic Hallucinations of VLMs
Maximilian Augustin, Yannic Neuhaus, Matthias Hein
Vision-language models (VLMs) are prone to object hallucinations, where they erroneously indicate the presenceof certain objects in an image. Existing benchmarks quantify hallucina…