Aug 2, 2019 · We benchmark contemporary action recognition models (TSN, TRN, and TSM) on the recently introduced EPIC-Kitchens dataset and release pretrained models on ...
Tasks EPIC-Kitchens has three tasks within the action recognition challenge: classifying the verb, noun, and ac- tion (the verb-noun pair) of a given trimmed ...
We benchmark contemporary action recognition models (TSN, TRN, and TSM) on the recently introduced EPIC-Kitchens dataset and release pretrained models on ...
We benchmark contemporary action recognition models (TSN, TRN, and TSM) onthe recently introduced EPIC-Kitchens dataset and release pretrained models ...
The current state-of-the-art on EPIC-KITCHENS-100 is Avion (ViT-L). See a full comparison of 29 papers with code.
This is a set of models trained for EPIC-KITCHENS-55 baselines. We support: TSN · TRN · TSM. Many thanks to the authors of these repositories.
The dataset is split in train/validation/test sets, with a ratio of roughly 75/10/15. The action recognition, detection and anticipation challenges use all the ...
We provide an evaluation script to compute the metrics we report in the paper on the validation set. You will also need to clone the annotations repo.
Evaluation. All challenges are evaluated considering all segments in the Test split. The action recognition and anticipation challenges are additionally ...
Jul 13, 2023 · Our research focuses on the innovative application of a differentiable logic loss in the training to leverage the co-occurrence relations between verb and noun.
Missing: Evaluation | Show results with:Evaluation