File size: 2,897 Bytes
940b0a4 3f7106f 940b0a4 7dfad1b 940b0a4 3f7106f 940b0a4 0e19254 5f28108 0e19254 5f28108 0e19254 940b0a4 c4dd9c0 d8474ba c4dd9c0 4800c82 c4dd9c0 d8474ba c4dd9c0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
---
license: cc-by-4.0
---
<div align="center">
<h1>Spatial Reasoning with Vision-Language Models in Ego-Centric Multi-view Scenes</h1>
<a href="https://arxiv.org/abs/2509.06266" target="_blank">
<img alt="arXiv" src="https://img.shields.io/badge/arXiv-red?logo=arxiv" height="20" />
</a>
<a href="https://vbdi.github.io/Ego3D-Bench-webpage/" target="_blank">
<img alt="Website" src="https://img.shields.io/badge/🌎_Website-blue.svg" height="20" />
</a>
<a href="https://github.com/vbdi/Ego3D-Bench" target="_blank">
<img alt="Code: Code" src="https://img.shields.io/badge/Code-100000?logo=github&logoColor=white" height="20" />
</a>
</div>
---
### ⚖️ **Ego3D-Bench Overview**
We introduce Ego3D-Bench, a benchmark designed to evaluate the spatial understanding of VLMs in ego-centric multi-view scenarios. Images are collected from three different datasets: NuScenes, Argoverse, and Waymo. Questions are designed to require cross-view reseasoning. We define question from the ego-perspective and from the perspective of objects in the scene. To clearly indicate the perspective of each question, we categorize them into ego-centric or object-centric. In total we have 10 questions: 8 multi-choice QAs and 2 exact number QAs. Figure
---
### ⚖️ **Ego3D-Bench vs. other Spatial Reasoning Benchmarks:**
<div align="center">
<img src="figs/benchmarks.png" width="600" height="100">
</div>
---
📄 **Dataset Access and License Notice:**
This dataset includes a subsample of the Waymo Open Dataset (WOD) and is governed by the Waymo Open Dataset License Agreement.
Please review the full license terms at: https://waymo.com/open/terms
🔒 **Access and Usage Conditions**
- License Compliance: This dataset is derived from the Waymo Open Dataset (WOD). All use of this dataset must comply with the terms outlined in the WOD license.
- Non-Commercial Use Only:This dataset is made available exclusively for non-commercial research purposes. Any commercial use is strictly prohibited.
- Access Agreement: Requesting or accessing this dataset constitutes your agreement to the Waymo Open Dataset License.
---
### 📌 Benchmarking on Ego3D-Bench:
Refer to the GitHub page (https://github.com/vbdi/Ego3D-Bench) to perform benchmarking using this dataset.
---
### Citation:
If you find our paper and code useful in your research, please consider giving us a star ⭐ and citing our work 📝 :)
```
@misc{gholami2025spatialreasoningvisionlanguagemodels,
title={Spatial Reasoning with Vision-Language Models in Ego-Centric Multi-View Scenes},
author={Mohsen Gholami and Ahmad Rezaei and Zhou Weimin and Sitong Mao and Shunbo Zhou and Yong Zhang and Mohammad Akbari},
year={2025},
eprint={2509.06266},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2509.06266},
}
``` |