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arXiv · 1906.08960

FBK-HUPBA Submission to the EPIC-Kitchens 2019 Action Recognition Challenge

Swathikiran Sudhakaran·Sergio Escalera·Oswald Lanz
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Abstract

In this report we describe the technical details of our submission to the EPIC-Kitchens 2019 action recognition challenge. To participate in the challenge we have developed a number of CNN-LSTA [3] and HF-TSN [2] variants, and submitted predictions from an ensemble compiled out of these two model families. Our submission, visible on the public leaderboard with team name FBK-HUPBA, achieved a top-1 action recognition accuracy of 35.54% on S1 setting, and 20.25% on S2 setting.

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Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz. 2019-06-21. FBK-HUPBA Submission to the EPIC-Kitchens 2019 Action Recognition Challenge. https://arxiv.org/abs/1906.08960

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