turhancan97/SpaRRTa-Attention

SpaRRTa-Attention: Attention-Analysis Split of the SpaRRTa Benchmark SpaRRTa-Attention is the interpretability asset for the synthetic SpaRRTa benchmark. Each scene ships with per-object segmentation masks so that a frozen Visual Foundation Model's self-attention can be measured between the objects in the scene (Human / Tree / Truck), the CLS token, the background, and register tokens. 📄 Paper: arXiv:2601.11729 💻 Code: github.com/gmum/SpaRRTa (see sparrta/analysis/) 🧩 Main (synthetic)… See the full description on the dataset page: https://huggingface.co/datasets/turhancan97/SpaRRTa-Attentio

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