CVJul 10, 2022

1st Place Solution to the EPIC-Kitchens Action Anticipation Challenge 2022

arXiv:2207.05730v11 citationsh-index: 34
Originality Incremental advance
AI Analysis

This work addresses action anticipation in kitchen environments, but it is incremental as it builds on existing competition frameworks.

The authors tackled the EPIC-Kitchens Action Anticipation Challenge by developing a method using anticipation time knowledge distillation and a verb-noun relation module, achieving state-of-the-art results on the testing set.

In this report, we describe the technical details of our submission to the EPIC-Kitchens Action Anticipation Challenge 2022. In this competition, we develop the following two approaches. 1) Anticipation Time Knowledge Distillation using the soft labels learned by the teacher model as knowledge to guide the student network to learn the information of anticipation time; 2) Verb-Noun Relation Module for building the relationship between verbs and nouns. Our method achieves state-of-the-art results on the testing set of EPIC-Kitchens Action Anticipation Challenge 2022.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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