etri-vilab/MultihopSpatial
[ECCV 2026] MultihopSpatial: Multi-hop Compositional Spatial Reasoning Benchmark for Vision-Language Models Project Page | Paper | Model Overview MultihopSpatial is a benchmark designed to evaluate whether vision-language models (VLMs) demonstrate robustness in multi-hop compositional spatial reasoning. Unlike existing benchmarks that only assess single-step spatial relations, MultihopSpatial features queries with 1 to 3 reasoning hops paired with… See the full description on the dataset page: https://huggingface.co/datasets/etri-vilab/MultihopSpatial.
| Author / organization | etri-vilab |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 1.1K (as reported by Hugging Face) |
| Likes | 6 |
| Created | 20 March 2026 |
| Last updated at source | 28 July 2026 |
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