Human Action Recognition on SBU Kinect Interaction

99.1Accuracy

F2CSkeleton

Updated 4d ago

Evaluation Results

Method	Links
F2CSkeleton 2018.05		99.1
HCN 2018.04		98.6
VA-LSTM 2018.04		97.6
VA-LSTM 2017.03		97.2
VA-LSTM 2018.05		97.2
GCA-LSTM 2017.07		94.9
Context-aware attention LSTM 2018.05		94.9
Two-stream RNN 2017.04		94.8
GCA-LSTM 2017.07		94.1
Clips+CNN+MTLN 2018.05		93.6
SkeletonNet 2017.07		93.5
SkeletonNet 2018.05		93.5
ST-LSTM+Trust Gate 2018.04		93.3
Trust Gate ST-LSTM 2017.04		93.3
ST-LSTM (Tree Traversal) + Trust Gate 2017.03		93.3
ST-LSTM 2017.07		93.3
ST-LSTM+Trust Gate 2018.05		93.3
Clips+CNN+Concatenation 2018.05		92.9
STA-LSTM 2016.11		91.51
STA-LSTM 2018.04		91.5
STA-LSTM 2017.03		91.5
Co-occurrence RNN 2016.11		90.41
Co-occurrence RNN 2018.04		90.4
Co-occurrence LSTM 2017.04		90.4
Co-occurrence RNN 2017.03		90.4
Co-occurrence LSTM 2017.07		90.4
Deep LSTM+Co-occurence 2018.05		90.4
ST-LSTM 2018.04		88.6
Joint feature (Ji, Ye, and Cheng 2014) 2016.11		86.9
Joint feature 2018.04		86.9
Joint Feature 2017.04		86.9
Joint feature 2017.03		86.9
Ji et al. 2017.07		86.9
Deep LSTM 2017.04		86
Deep LSTM 2017.07		86
CHARM 2017.07		83.9
HBRNN 2017.04		80.4
HBRNN-L 2017.03		80.4
HBRNN 2017.07		80.4
Hierarchical RNN 2016.11		80.35
Joint feature (Yun et al. 2012) 2016.11		80.3
Joint Feature 2017.04		80.3
Joint feature 2017.03		80.3
Yun et al. 2017.07		80.3
Raw skeleton (Ji, Ye, and Cheng 2014) 2016.11		79.4
Raw skeleton 2018.04		79.4
Raw skeleton 2017.03		79.4
Raw skeleton (Yun et al. 2012) 2016.11		49.7
Raw skeleton 2017.03		49.7