NVIDIA-UNIBZ Submission for EPIC-KITCHENS-100 Action Anticipation Challenge 2022. (arXiv:2206.10869v1 [cs.CV])

In this report, we describe the technical details of our submission for the
EPIC-Kitchen-100 action anticipation challenge. Our modelings, the higher-order
recurrent space-time transformer and the message-passing neural network with
edge learning, are both recurrent-based architectures which observe only 2.5
seconds inference context to form the action anticipation prediction. By
averaging the prediction scores from a set of models compiled with our proposed
training pipeline, we achieved strong performance on the test set, which is
19.61% overall mean top-5 recall, …

arxiv challenge cv nvidia