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Skeleton-based Action Recognition on NTU RGB+D Cross-View (CV) 1.0

95.1Accuracy

2s-AGCN

Updated 4d ago

Evaluation Results

Method	Links
2s-AGCN 2019.04		95.1
SGN 2019.04		94.5
GR-GCN 2019.04		94.3
VA-CNN 2019.04		94.3
AS-GCN 2019.04		94.2
AGC-LSTM (joint) 2019.04		93.5
SGN 2019.04		92.8
SR-TSL 2019.04		92.4
HCN 2019.04		91.1
DPRL+GCNN 2019.04		89.8
ElAtt-GRU 2019.04		88.4
ST-GCN 2019.04		88.3
IndRNN 2018.03		87.97
VA-LSTM 2019.04		87.6
Enhanced Visualization+CNN 2018.03		87.21
Clips+CNN+MTLN 2018.03		84.83
Clips+CNN+MTLN 2019.04		84.8
Pose conditioned STA-LSTM 2018.03		84.5
IndRNN 2018.03		83.75
Res-TCN 2018.03		83.1
GCA-LSTM 2019.04		82.8
JL_d+RNN 2018.03		82.39
JDM+CNN 2018.03		82.3
STA-LSTM 2018.03		81.2
STA-LSTM 2019.04		81.2
SkeletonNet(CNN) 2018.03		81.16
ST-LSTM + Trust Gate 2018.03		77.7
ST-LSTM + Trust Gate 2019.04		77.7
JTM+CNN 2018.03		75.2
Part-Aware LSTM 2019.04		70.3
PLSTM 2018.03		70.27
PLSTM 2018.03		69.4
LSTM 2018.03		67.29
Deep learning on Lie Group 2018.03		66.95
LSTM 2018.03		66.81
RNN 2018.03		64.09
HBRNN-L 2019.04		64
RNN 2018.03		60.24