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Open Vocabulary Action Recognition

Open Vocabulary Action Recognition (OVAR) aims to generalize beyond the predefined set of actions seen during training. The actions (verbs or verb-object pairs) are provided as textual queries during inference and no prior knowledge about them is assumed to be known during training.

Papers

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Showing 1–5 of 5 papers

TitleStatusHype
FROSTER: Frozen CLIP Is A Strong Teacher for Open-Vocabulary Action RecognitionCode2
Rethinking CLIP-based Video Learners in Cross-Domain Open-Vocabulary Action RecognitionCode1
Opening the Vocabulary of Egocentric ActionsCode0
DENOISER: Rethinking the Robustness for Open-Vocabulary Action Recognition—0
Learning to Generalize without Bias for Open-Vocabulary Action Recognition—0
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