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SOTA
Reconnaissance d'actions basée sur le squelette
Skeleton Based Action Recognition On J Hmdb
Skeleton Based Action Recognition On J Hmdb
Métriques
Accuracy (RGB+pose)
Accuracy (pose)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
Accuracy (RGB+pose)
Accuracy (pose)
Paper Title
Repository
DD-Net
-
77.2
Make Skeleton-based Action Recognition Model Smaller, Faster and Better
-
Potion
90.4
67.9
PoTion: Pose MoTion Representation for Action Recognition
-
MR Two-Sream R-CNN
71.1
-
Multi-region two-stream R-CNN for action detection
-
Action Tubes
62.5
-
Finding Action Tubes
-
RPAN
83.9
-
RPAN: An End-to-End Recurrent Pose-Attention Network for Action Recognition in Videos
-
EHPI
-
65.5
Simple yet efficient real-time pose-based action recognition
-
I3D + Potion
85.5
-
PoTion: Pose MoTion Representation for Action Recognition
-
I3D
84.1
-
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
-
PA3D
69.5
-
PA3D: Pose-Action 3D Machine for Video Recognition
-
STAR-Net
64.3
-
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection
-
PA3D+RPAN
86.1
-
PA3D: Pose-Action 3D Machine for Video Recognition
-
Chained (RGB+Flow +Pose)
76.1
56.8
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection
-
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