FBK-HUPBA Submission to the EPIC-Kitchens 2019 Action Recognition Challenge
arXiv:1906.08960
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.
Ranked 3rd in the EPIC-Kitchens 2019 action recognition challenge, held as part of CVPR 2019