2 papers
cs.LG2025
Probabilistic Runtime Verification, Evaluation and Risk Assessment of Visual Deep Learning Systems
Birk Torpmann-Hagen, Pål Halvorsen, Michael A. Riegler +1
Despite achieving excellent performance on benchmarks, deep neural networks often underperform in real-world deployment due to sensitivity to minor, often imperceptible shifts in i…
cs.CV2024
Kvasir-VQA: A Text-Image Pair GI Tract Dataset
Sushant Gautam, Andrea Storås, Cise Midoglu +4
We introduce Kvasir-VQA, an extended dataset derived from the HyperKvasir and Kvasir-Instrument datasets, augmented with question-and-answer annotations to facilitate advanced mach…