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.