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n | | n | "https://doi.org/10.48550/arXiv.2305.13786", |
| | | "https://doi.org/10.48550/arXiv.1804.02748", |
| "https://doi.org/10.48550/arXiv.2406.01194", | | "https://doi.org/10.48550/arXiv.2406.19811", |
| "https://doi.org/10.1109/ICIP.2019.8803153", | | |
| "https://doi.org/10.48550/arXiv.1912.00381", | | |
| "https://doi.org/10.48550/arXiv.1911.10967", | | |
| "https://doi.org/10.48550/arXiv.2109.11523", | | "https://doi.org/10.48550/arXiv.2109.14734" |
| "https://doi.org/10.48550/arXiv.2006.11692", | | |
| "https://doi.org/10.48550/arXiv.1908.08498", | | |
| "https://doi.org/10.48550/arXiv.1808.09559", | | |
| "https://doi.org/10.48550/arXiv.1909.06761", | | |
| "https://doi.org/10.48550/arXiv.2311.14281" | | |
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| of detecting the location of the next-active objects, the noun and | | recorded by 32 participants in their native kitchen environments. Our |
| verb categories of the interaction, and the time to contact from the | | videos depict non-scripted daily activities: we simply asked each |
| observation of egocentric video.", | | participant to start recording every time they entered their kitchen. |
| | | Recordings took place in 4 cities (in North America and Europe) by |
| | | participants belonging to 10 different nationalities, resulting in |
| | | highly diverse cook-ing styles. Our dataset features 55 hours of video |
| | | consisting of 11.5M frames, which we densely labelled for a total of |
| | | 39.6K action segments and 454.3K object bounding boxes.", |
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| { | | |
| "display_name": "videos", | | "display_name": "video benchmarking", |
| "id": "d90154fe-ddc2-48a5-ab6d-e11d704864a1", | | "id": "0efc98c9-beec-451e-9da6-909864532383", |
| "name": "videos", | | "name": "video benchmarking", |
| "state": "active", | | "state": "active", |
| "vocabulary_id": null | | "vocabulary_id": null |
| } | | } |
| ], | | ], |
t | "title": "EPIC-Kitchens", | t | "title": "EPIC-KITCHENS", |
| "type": "dataset", | | "type": "dataset", |
| "version": "" | | "version": "" |
| } | | } |