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Online Action Detection
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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.
논문
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Text-driven Online Action Detection
Continual Low-Rank Scaled Dot-product Attention
ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos
Object Aware Egocentric Online Action Detection
MALT: Multi-scale Action Learning Transformer for Online Action Detection
JOADAA: joint online action detection and action anticipation
Memory-and-Anticipation Transformer for Online Action Understanding
E2E-LOAD: End-to-End Long-form Online Action Detection
Real-time Online Video Detection with Temporal Smoothing Transformers
A Circular Window-based Cascade Transformer for Online Action Detection
Weakly Supervised Online Action Detection for Infant General Movements
GateHUB: Gated History Unit with Background Suppression for Online Action Detection
Colar: Effective and Efficient Online Action Detection by Consulting Exemplars
Continual Transformers: Redundancy-Free Attention for Online Inference
Information Elevation Network for Fast Online Action Detection
Learning to Discriminate Information for Online Action Detection: Analysis and Application
Long Short-Term Transformer for Online Action Detection
Exploring Temporal Context and Human Movement Dynamics for Online Action Detection in Videos
OadTR: Online Action Detection with Transformers
Temporally smooth online action detection using cycle-consistent future anticipation
Bridging the gap between Human Action Recognition and Online Action Detection
Privileged Knowledge Distillation for Online Action Detection
LAP-Net: Adaptive Features Sampling via Learning Action Progression for Online Action Detection
Online Action Detection in Streaming Videos with Time Buffers
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos
Two-Stream AMTnet for Action Detection
Rethinking Online Action Detection in Untrimmed Videos: A Novel Online Evaluation Protocol
The Instantaneous Accuracy: a Novel Metric for the Problem of Online Human Behaviour Recognition in Untrimmed Videos
A Novel Online Action Detection Framework from Untrimmed Video Streams
A Comprehensive Study on Temporal Modeling for Online Action Detection
Learning to Discriminate Information for Online Action Detection
Temporal Recurrent Networks for Online Action Detection
Real-time Online Action Detection Forests using Spatio-temporal Contexts
Online Action Detection
Online Human Action Detection using Joint Classification-Regression Recurrent Neural Networks
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