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Action Recognition on UT-Kinect

100AccuracyMANs-9
88.0491.14594.2597.355Jul 18, 2017Oct 9, 2017Dec 31, 2017Mar 24, 2018Jun 15, 2018Sep 6, 2018Nov 29, 2018

Evaluation results

MethodLinks
MANs-9#param=0.8M2018.04100
MANs-33#param=3.1M2018.04100
MANs#param=12.0M, Backbone=ResNet-182018.04100
MANs-61#param=5.7M2018.0499.5
GCA-LSTMTraining protocol=stepwise training2017.0799
GCA-LSTM2018.0499
MANs#param=27.6M, Backbone=DenseNet-1612018.0499
GCA-LSTMTraining protocol=direct training2017.0798.5
DPRLYear=20182018.1198.5
GR-GCNAblation=Complete model2018.1198.5
ST-NBNNYear=20172018.1198
ST-LSTMAttention iterations=22017.0797.5
ST-LSTM + TG2018.0497.5
SPGKYear=20162018.1197.4
GR-GCNAblation=Bone + Intra-connection2018.1197.4
Lie GroupYear=20142018.1197.1
ST-LSTM2017.0797
ST-LSTMAttention iterations=12017.0797
ST-LSTM2018.0497
ST-LSTM(Tree) + Trust GateYear=20182018.1197
Bi-LSTMYear=20182018.1196.9
GR-GCNAblation=Bone only2018.1196.9
Action-Snippets and Activated Simplices2017.0796.5
LARP+mfPCAYear=20152018.1194.9
Key-Pose-Motifs Mining2017.0793.5
Riemannian Manifold2017.0791.5
Histogram of 3D Joints2017.0790.9
Grassmann Manifold2017.0788.5