license: apache-2.0
EOC-Bench : Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World?
🔍 Overview
we introduce EOC-Bench, an innovative benchmark designed to systematically evaluate object-centric embodied cognition in dynamic egocentric scenarios. Specially, EOC-Bench features 3,277 meticulously annotated QA pairs categorized into three temporal categories: Past, Present, and Future, covering 11 fine-grained evaluation dimensions and 3 visual object referencing types. To ensure thorough assessment, we develop a mixed-format human-in-the-loop annotation framework with four types of questions and design a novel multi-scale temporal accuracy metric for open-ended temporal evaluation.
📚 Tasks Definition
EOC-Bench structures questions into three temporally grounded categories: Past, Present, and Future, with a total of 11 categories.
📈 Evaluation
Please see our GitHub.