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Grounded Entity Biographies link the same objects across long videos
GEB groups visually grounded observations of individual objects into retrievable biographies and supplements episodic evidence during question answering; it reports 72.0% on EgoLifeQA, 4.4 points above the best published result. Identity-linked memory offers a concrete way to retrieve long-range visual context.
- What
- Grounded Entity Biographies (GEB) groups visually grounded observations of the same physical entity across clips into retrievable long-video memory.
- Method
- During question answering, the system retrieves an entity biography alongside episodic evidence, using identity links formed during memory construction.
- Why it matters
- Linking object identity across events helps models answer questions about long videos when descriptions alone cannot distinguish or connect physical instances.
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