most citedOpen-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy

2 citations · 2 across the 1 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2024★ 2 cited

Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy

Simon Ging, María A. Bravo, Thomas Brox

The evaluation of text-generative vision-language models is a challenging yet crucial endeavor. By addressing the limitations of existing Visual Question Answering (VQA) benchmarks…

cs.CV2019

MAIN: Multi-Attention Instance Network for Video Segmentation

Juan Leon Alcazar, Maria A. Bravo, Ali K. Thabet +4

Instance-level video segmentation requires a solid integration of spatial and temporal information. However, current methods rely mostly on domain-specific information (online lear…