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Hand gesture recognition on EgoGesture (test)

94.3AccuracyTSM+W3
65.38872.89480.487.906Dec 14, 2018Mar 3, 2019May 21, 2019Aug 8, 2019Oct 26, 2019Jan 13, 2020Apr 2, 2020

Evaluation results

MethodLinks
TSM+W3Backbone=R50, #Frames=82020.0494.3——99.2
MTUTFFused modalities=RGB+Depth2018.1293.87———
MMTMInput Modalities=RGB+Depth2019.1193.51———
I3DFused modalities=RGB+Depth2018.1292.78———
I3D late fusionInput Modalities=RGB+Depth2019.1192.78———
C3D+LSTM+RSTTMFused modalities=RGB+Depth2018.1292.2———
C3D+LSTM+RSTTMInput Modalities=RGB+Depth2019.1192.2———
I3DInput Modalities=RGB2019.1190.33———
I3DBackbone=I3D, #Frames=322020.0490.3———
C3DFused modalities=RGB+Depth2018.1289.7———
C3DInput Modalities=RGB+Depth2019.1189.7———
I3DInput Modalities=Depth2019.1189.47———
C3D+LSTM+RSTMBackbone=C3D, #Frames=162020.0489.3———
C3DBackbone=C3D, #Frames=162020.0486.4———
C3DBackbone=C3D, #Frames=82020.0481.7———
VGG16 + LSTMFused modalities=RGB+Depth2018.1281.4———
VGG16 + LSTMInput Modalities=RGB+Depth2019.1181.4———
TSMBackbone=R50, #Frames=82020.0480.5——97.8
VGG16+LSTMBackbone=VGG16, #Frames=162020.0474.7———
VGG16Fused modalities=RGB+Depth2018.1266.5———
VGG16Input Modalities=RGB+Depth2019.1166.5———
C3D2018.12—86.488.1—
C3DInput=16-frames2019.01—86.8888.45—
C3D+LSTM+RSTTM2018.12—89.390.6—
C3D+LSTM+RSTTMInput=16-frames2019.01—89.390.6—
I3D2018.12—90.3389.47—
MTUT2018.12—92.4891.96—
ResNeXt-101Input=16-frames2019.01—90.9491.8—
ResNeXt-101Input=32-frames2019.01—93.7594.03—
VGG-16Input=16-frames2019.01—62.562.3—
VGG-16 + LSTMInput=16-frames2019.01—74.777.7—
VGG162018.12—62.562.3—
VGG16 + LSTM2018.12—74.777.7—