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GaugeVLM: Structuring Spatial Supervision with Measured Geometric Interventions
Not provided in the abstract
multimodalspatial reasoningsupervised learning
2609.38285
Builder Relevance
1h ago80%
Abstract
GaugeVLM introduces a structured approach to improve vision-language models by explicitly capturing spatial relations through controlled interventions.
Reality Card
Core Claim
GaugeVLM significantly improves spatial metrics in vision-language models, achieving up to 18.9 percentage points increase on QSpatial+.
Method / Result
The main 7B model gained 15.0 and 18.9 percentage points on MSMU distance and QSpatial+, respectively.
Limitations
The paper does not specify the reproducibility of the results across different datasets or VLM architectures.
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