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Action Recognition on N-UCLA V1

Action Recognition on N-UCLA V1

80.2AccuracyVA-fusion

Updated 8mo ago

Evaluation results

Method	Links
VA-fusion2018.04		80.2
VA-CNN2018.04		79.7
HBRNN-L2018.04		79.3
VA-RNN2018.04		74

State-of-the-art paper

VA-fusion

View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition

Dataset

N-UCLA

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Related benchmarks

Action Recognition on NTU RGB+D v1 (Cross-Subject (CS))Action Recognition on UWA3D Cross-View Evaluation Action Recognition on N-UCLA V3 Action Recognition on SYSU Human-Object Interaction (setting-2)Action Recognition on N-UCLA (V2)

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