AI RESEARCH
MA-Bench: Towards Fine-grained Micro-Action Understanding
arXiv CS.CV
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ArXi:2603.26586v1 Announce Type: new With the rapid development of Multimodal Large Language Models (MLLMs), their potential in Micro-Action understanding, a vital role in human emotion analysis, remains unexplored due to the absence of specialized benchmarks. To tackle this issue, we present MA-Bench, a benchmark comprising 1,000 videos and a three-tier evaluation architecture that progressively examines micro-action perception, relational comprehension, and interpretive reasoning.