SpatialScout: A New Benchmark for Evaluating VLM Agents' Active Exploration and Object-Level 3D Mapping

SpatialScout is a new benchmark for evaluating vision-language model (VLM) agents' ability to actively build object-level 3D maps. It contains 80 diverse indoor scenes and 3,140 target objects. The task requires agents to control a camera to explore scenes and estimate object centers in a shared coordinate frame, coordinating viewpoint selection, cross-view association, geometric estimation, and map revision within a limited interaction budget.