BareBones: Benchmarking Zero-Shot Geometric Comprehension in VLMs
While Vision-Language Models (VLMs) demonstrate remarkable zero-shot recognition capabilities across a diverse spectrum of multimodal tasks, it yet remains an open question whether these architectures genuinely comprehend geometric structure or merely exploit RGB textures and contextual priors as statistical shortcuts. Existing evaluations fail to isolate this mechanism, conflating semantic reasoning with texture mapping and relying on imprecise annotations that inadvertently leak environmental cues. To address this gap, we introduce $\textbf{BareBones}$, a zero-shot benchmark designed to stress-test pure geometric shape comprehension. We curate pixel-level silhouettes of geometrically di...
| Authors | Aaditya Baranwal, Vishal Yadav, Abhishek Rajora |
|---|---|
| Primary category | cs.CV |
| Published | 12 April 2026 |
| Last updated at source | 5 October 2026 |
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