New probe tests 10 vision foundation models on persistent spatial state across 4 levels
liuziwei7 · x · 2026-11-02
A new spatial-perception probe argues the field's evaluation axis is misaligned: benchmarks test 'can you understand this image' but rarely 'do you still know where things are after moving two steps.' The authors define spatial perception as a persistent spatial state—maintained beyond observation, updated under self-motion, and used to act—and probe 10 vision foundation models across 4 levels on whether they support such state. Relevant to embodied AI and VLA work.
Related event: Study finds no visual foundation model fully maintains spatial state(3 posts)→
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