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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 1–10 of 39 papers

TitleStatusHype
Context-Enhanced Memory-Refined Transformer for Online Action DetectionCode1
Text-driven Online Action DetectionCode0
Continual Low-Rank Scaled Dot-product Attention—0
ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming VideosCode1
Object Aware Egocentric Online Action Detection—0
MALT: Multi-scale Action Learning Transformer for Online Action Detection—0
JOADAA: joint online action detection and action anticipation—0
Memory-and-Anticipation Transformer for Online Action UnderstandingCode1
E2E-LOAD: End-to-End Long-form Online Action DetectionCode1
MiniROAD: Minimal RNN Framework for Online Action DetectionCode1
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