amathislab/ESK_action_segmentation
Paper | GitHub π³ EPFL-Smart-Kitchen: Action segmentation benchmark π Introduction Given an untrimmed video, action segmentation requires the model to predict one or multiple action classes for every frame.Given the absence of popular (and comprehensive) action segmentation benchmarks from 3D pose we built an action segmentation benchmark that compares the impact of different input data (body,hand,eyes, videofeatures).One might expect that actions such as movingβ¦ See the full description on the dataset page: https://huggingface.co/datasets/amathislab/ESK_action_segmentation.
| Author / organization | amathislab |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.8K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 20 October 2025 |
| Last updated at source | 21 October 2025 |
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- 16 Oct 2026 Description: Paper | GitHub π³ EPFL-Smart-Kitchen: Action segmentation benchmark π Introduction Given an untrimmed video, action segmentation requires the model to predict one or multiple action classes for every frame.Given the absence of popular (and β Paper | GitHub π³ EPFL-Smart-Kitchen: Action segmentation benchmark π Introduction Given an untrimmed video, action segmentation requires the model to predict one or multiple action classes for every frame.Given the absence of popular (and
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