Papers with compositional action recognition model

1 papers
Disentangled Action Recognition with Knowledge Bases (2022.naacl-main)

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Challenge: a new method for compositional action recognition is proposed to address the problem of zero-shot learning.
Approach: They propose a method to generalize compositional action recognition models to new verbs and nouns . they use knowledge graphs to extract disentangled feature representations for verbs, noun and type constraint .
Outcome: The proposed approach improves generalization ability of the compositional action recognition model to novel verbs and nouns that are unseen during training time.

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