EPIC_KITCHENS_100 - Trained Models and Features
These Trained Models and Features are derived from EPIC_KITCHENS_100 and Action-Level Annotations. These models can be directly used in applications, and can be used to train on larger or different datasets for the same purpose of recognising actions and active objects in hand-object interactions.
Technology No. 3108
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To purchase this package, you MUST first purchase EPIC_KITCHENS_100 - Dataset or have done so in the past.
This product can be used in combination with any of the following:
EPIC_KITCHENS_100 - Narrations
EPIC_KITCHENS_100 - Action-Level Annotations
EPIC_KITCHENS_100 - Instance-Level Segmentations
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swap_vertical_circlelibrary_booksReferences (3)
- D Damen, H Doughty, GM Farinella, A Furnari, J Ma, E Kazakos, D Moltisanti, J Munro, T Perrett, W Price, M Wray (2021), Rescaling Egocentric Vision: Collection Pipeline and Challenges for EPIC-KITCHENS-100, International Journal of Computer Vision (IJCV)
- D Damen, H Doughty, GM Farinella, S Fidler, A Furnari, E Kazakos, D Moltisanti, J Munro, T Perrett, W Price, M Wray (2021), The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 43, 4125-4141
- D Damen, H Doughty, GM Farinella, S Fidler, A Furnari, E Kazakos, D Moltisanti, J Munro, T Perrett, W Price, M Wray (2018), Scaling Egocentric Vision: The EPIC-KITCHENS Dataset, European Conference on Computer Vision (ECCV)
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