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ResearchFormerly WizWand

Action Recognition on N-UCLA (test)

97.2AccuracyTa-CNN+
52.79264.32175.8587.379Sep 3, 2019Mar 16, 2020Sep 27, 2020Apr 10, 2021Oct 22, 2021May 5, 2022Nov 17, 2022
Updated 8mo ago

Evaluation results

MethodLinks
Ta-CNN+2022.0597.2
TCA-GCNfour-stream fusion=true2022.0597
TCA-GCN2022.0596.8
HyperformerType=Transformer, Multi-stream fusion strategy=true2022.1196.7
InfoGCNType=GCN, Multi-stream fusion strategy=true, Loss configuration=with MMD losses2022.1196.6
CTR-GCN2022.0596.5
Ta-CNN2022.0596.1
Ta-CNNType=CNN, Multi-stream fusion strategy=true2022.1196.1
DC-GCN+ADG2022.0595.3
DC-GCN+ADGType=GCN, Multi-stream fusion strategy=true2022.1195.3
Shift-GCN2022.0594.6
4s-shift-GCNType=GCN, Multi-stream fusion strategy=true2022.1194.6
AGC-LSTM2022.0593.3
2s-AGC-LSTMType=RNN, Multi-stream fusion strategy=true2022.1193.3
SGN2022.0592.5
Action Machine2022.0592.3
EleAtt-GRU(aug.)Data Augmentation=true2019.0990.7
VA-CNN (aug.)Type=CNN, Multi-stream fusion strategy=true2022.1190.7
TS-LSTMType=RNN, Multi-stream fusion strategy=true2022.1189.2
EleAtt-GRUData Augmentation=false2019.0989
VA-fusion2022.0588.1
Glimpse Clouds2022.0587.6
DA-Net2019.0986.5
Baseline-GRULayers=3-layer stacked GRU2019.0984.3
HBRNN-L2019.0978.5
HBRNN-L2022.0578.5
AE2019.0976
Lie Group2022.0574.2
HOJ3D2019.0954.5