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SNU-ISLAB/E3VQA

E3VQA E3VQA is the benchmark introduced in: Towards Comprehensive Scene Understanding: Integrating First and Third-Person Views for LVLMsInsu Lee*, Wooje Park*, Jaeyun Jang, Minyoung Noh, Kyuhong Shim†, and Byonghyo Shim† (* Equal contribution, † Corresponding authors)NeurIPS 2025 Spotlight Paper | Code E3VQA is a multi-view visual question answering benchmark designed to evaluate scene understanding across synchronized egocentric and exocentric views. The current dataset… See the full description on the dataset page: https://huggingface.co/datasets/SNU-ISLAB/E3VQA.

Author / organizationSNU-ISLAB
Downloads173 (as reported by Hugging Face)
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Created29 September 2026
Last updated at source1 October 2026
multimodalmulti-viewmulti-imageegocentricexocentricvisual-question-answering
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