Looking One Step Ahead: An Anticipation-guided Agent for Object State Readout in Videos

arXiv:2611.14113v1 Announce Type: cross Abstract: Understanding the progress of an activity requires tracking how the objects involved change over time. Object state readout provides this information by describing a target object's states and transitions across video frames. Although multimodal large language models (MLLMs) generate detailed visual descriptions, these descriptions may leave the attributes needed to distinguish successive states insufficiently specified. In this paper, we propose look-ahead state readout (LASER), an anticipation-guided agent for object state readout that uses p

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