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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 26–39 of 39 papers

TitleStatusHype
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
Learning to Discriminate Information for Online Action Detection: Analysis and Application—0
Linear-time Online Action Detection From 3D Skeletal Data Using Bags of Gesturelets—0
MALT: Multi-scale Action Learning Transformer for Online Action Detection—0
Object Aware Egocentric Online Action Detection—0
Online Action Detection—0
Online Action Detection in Streaming Videos with Time Buffers—0
Privileged Knowledge Distillation for Online Action Detection—0
Real-time Online Action Detection Forests using Spatio-temporal Contexts—0
A Circular Window-based Cascade Transformer for Online Action Detection—0
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