amathislab/ESK_action_recognition
Paper | GitHub π³ EPFL-Smart-Kitchen: Action recognition benchmark π Introduction Given a video or temporal clip, action recognition requires the model to predict a single action label for that clip (or for a specified window within an untrimmed video). Building on the same EPFL-Smart-Kitchen-30 data and modalities as our segmentation benchmark, we provide a recognition-oriented setup to compare inputs from 3D body pose, hand pose, and eye gaze, as well as deepβ¦ See the full description on the dataset page: https://huggingface.co/datasets/amathislab/ESK_action_recognition.
| Author / organization | amathislab |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 273 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 21 October 2025 |
| Last updated at source | 23 October 2025 |
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- 16 Oct 2026 Description: Paper | GitHub π³ EPFL-Smart-Kitchen: Action recognition benchmark π Introduction Given a video or temporal clip, action recognition requires the model to predict a single action label for that clip (or for a specified window within an unt β Paper | GitHub π³ EPFL-Smart-Kitchen: Action recognition benchmark π Introduction Given a video or temporal clip, action recognition requires the model to predict a single action label for that clip (or for a specified window within an unt
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