THUSI-Lab/VSI-Super-Wild

[ECCV 2026] Towards Spatial Supersensing in the Wild Tsinghua University, NVIDIA, Stanford University Humans make sense of continuous sensory streams by maintaining implicit world states that support spatial reasoning and prediction. VSI-Super-Wild studies whether multimodal models can develop similar spatial supersensing capabilities in genuinely long-form, in-the-wild videos. The benchmark moves beyond short indoor clips and object-centric settings. It evaluates world… See the full description on the dataset page: https://huggingface.co/datasets/THUSI-Lab/VSI-Super-Wild.

<iframe src="https://silytics.si/embed/item/d040a455-dbff-4e59-8ec5-5e97ac206129" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.