List your company
ResearchFormerly WizWand

Human Action Recognition on SBU Kinect Interaction

99.1AccuracyF2CSkeleton
47.72461.06274.487.738Nov 18, 2016Feb 19, 2017May 23, 2017Aug 24, 2017Nov 25, 2017Feb 26, 2018May 30, 2018
Updated 8mo ago

Evaluation results

MethodLinks
F2CSkeleton2018.0599.1
HCN2018.0498.6
VA-LSTM2018.0497.6
VA-LSTM2017.0397.2
VA-LSTM2018.0597.2
GCA-LSTMTraining protocol=stepwise training2017.0794.9
Context-aware attention LSTM2018.0594.9
Two-stream RNN2017.0494.8
GCA-LSTMTraining protocol=direct training2017.0794.1
Clips+CNN+MTLN2018.0593.6
SkeletonNet2017.0793.5
SkeletonNet2018.0593.5
ST-LSTM+Trust Gate2018.0493.3
Trust Gate ST-LSTM2017.0493.3
ST-LSTM (Tree Traversal) + Trust Gate2017.0393.3
ST-LSTM2017.0793.3
ST-LSTM+Trust Gate2018.0593.3
Clips+CNN+Concatenation2018.0592.9
STA-LSTMattention_type=spatio-temporal2016.1191.51
STA-LSTM2018.0491.5
STA-LSTM2017.0391.5
Co-occurrence RNN2016.1190.41
Co-occurrence RNN2018.0490.4
Co-occurrence LSTM2017.0490.4
Co-occurrence RNN2017.0390.4
Co-occurrence LSTM2017.0790.4
Deep LSTM+Co-occurence2018.0590.4
ST-LSTM2018.0488.6
Joint feature (Ji, Ye, and Cheng 2014)feature_type=Joint feature2016.1186.9
Joint feature2018.0486.9
Joint Featurecitation_id=[22]2017.0486.9
Joint featuresource=[17]2017.0386.9
Ji et al.2017.0786.9
Deep LSTM2017.0486
Deep LSTM2017.0786
CHARM2017.0783.9
HBRNN2017.0480.4
HBRNN-L2017.0380.4
HBRNN2017.0780.4
Hierarchical RNN2016.1180.35
Joint feature (Yun et al. 2012)feature_type=Joint feature2016.1180.3
Joint Featurecitation_id=[53]2017.0480.3
Joint featuresource=[46]2017.0380.3
Yun et al.2017.0780.3
Raw skeleton (Ji, Ye, and Cheng 2014)feature_type=Raw skeleton2016.1179.4
Raw skeleton2018.0479.4
Raw skeletonsource=[17]2017.0379.4
Raw skeleton (Yun et al. 2012)feature_type=Raw skeleton2016.1149.7
Raw skeletonsource=[46]2017.0349.7