turhancan97/SpaRRTa
SpaRRTa: A Synthetic Benchmark for Evaluating Spatial Intelligence in Visual Foundation Models SpaRRTa is a synthetic benchmark that probes whether Visual Foundation Models (VFMs) — such as DINO, DINOv2/v3, MAE, CroCo, VGGT, SPA and CLIP — encode the spatial relations between objects in a scene, rather than only their semantic identity. 📄 Paper: arXiv:2601.11729 💻 Code: github.com/gmum/SpaRRTa 🧱 Real-world (lego) split: turhancan97/SpaRRTa-Lego 🔬 Attention-analysis split (images +… See the full description on the dataset page: https://huggingface.co/datasets/turhancan97/SpaRRTa.
| Author / organization | turhancan97 |
|---|---|
| License (as declared) | mit |
| Downloads | 132 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 9 March 2026 |
| Last updated at source | 26 June 2026 |
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