Web: http://arxiv.org/abs/2206.10869

June 23, 2022, 1:12 a.m. | Tsung-Ming Tai, Oswald Lanz, Giuseppe Fiameni, Yi-Kwan Wong, Sze-Sen Poon, Cheng-Kuang Lee, Ka-Chun Cheung, Simon See

cs.CV updates on arXiv.org arxiv.org

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, …

2022 arxiv challenge cv nvidia

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