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

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