EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models

arXiv:2311.15596v2 Announce Type: replace
Abstract: Vision-language models (VLMs) have recently shown promising results in traditional downstream tasks. Evaluation studies have emerged to assess their abilities, with the majority focusing on the third-person perspective, and only a few addressing specific tasks from the first-person perspective. However, the capability of VLMs to "think" from a first-person perspective, a crucial attribute for advancing autonomous agents and robotics, remains largely unexplored. To bridge this research gap, we introduce EgoThink, a novel visual question-answering benchmark …

abstract arxiv capability cs.cl cs.cv evaluation however language language models person perspective results specific tasks studies tasks think thinking type vision vision-language models vlms