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TransAction: ICL-SJTU Submission to EPIC-Kitchens Action Anticipation Challenge 2021

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In this report, the technical details of our submission to the EPIC-Kitchens Action Anticipation Challenge 2021 are given. We developed a hierarchical attention model for action anticipation, which leverages Transformer-based attention mechanism to aggregate features across temporal dimension, modalities, symbiotic branches respectively. In terms of Mean Top-5 Recall of action, our submission with team name ICL-SJTU achieved 13.39% for overall testing set, 10.05% for unseen subsets and 11.88% for tailed subsets. Additionally, it is noteworthy that our submission ranked 1st in terms of verb class in all three (sub)sets.

Xiao Gu, Jianing Qiu, Yao Guo, Benny Lo, Guang-Zhong Yang• 2021

Related benchmarks

TaskDatasetResultRank
Action AnticipationEPIC-KITCHENS 100 (test)
Overall Action Top-5 Recall13.4
59
Action AnticipationEpic-Kitchens-100 (val)
mCR@5 (Overall Verb)35.04
33
Action AnticipationEPIC-Kitchens-100 Unseen
Verb Recall@527.6
15
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