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Online Action Detection

Online action detection is the task of predicting the action as soon as it happens in a streaming video without access to video frames in the future.

Papers

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Showing 21–30 of 39 papers

TitleStatusHype
Human Activity Recognition: A Spatio-temporal Image Encoding of 3D Skeleton Data for Online Action DetectionCode0
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos—0
A Novel Online Action Detection Framework from Untrimmed Video Streams—0
Bridging the gap between Human Action Recognition and Online Action Detection—0
Continual Low-Rank Scaled Dot-product Attention—0
Exploring Temporal Context and Human Movement Dynamics for Online Action Detection in Videos—0
GateHUB: Gated History Unit with Background Suppression for Online Action Detection—0
Information Elevation Network for Fast Online Action Detection—0
JOADAA: joint online action detection and action anticipation—0
LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection—0
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