List your company

Skeleton-based Action Recognition on NW-UCLA

96.8AccuracyFR Head
48.85661.30373.7586.197Feb 25, 2019Apr 15, 2020Jun 4, 2021Jul 25, 2022Sep 13, 2023Nov 1, 2024Dec 22, 2025

Evaluation results

MethodLinks
FR HeadFusion=joint, bone, joint motion, and bone motion2023.0396.8—
FR-HeadParam. (M)=1.3, FLOPs (G)=7.08, Power (mJ)=32.572025.1296.8—
TSGCNeXt2023.0496.55—
CTR-GCN2023.0496.5—
CTR-GCNPublication=ICCV20212023.0396.5—
CTR-GCNParam. (M)=1.46, FLOPs (G)=7.88, Power (mJ)=36.252025.1296.5—
Info-GCNParam. (M)=1.6, FLOPs (G)=7.36, Power (mJ)=33.862025.1296.5—
Signal-SGN++ (4 ensemble)Param. (M)=1.72, FLOPs (G)=6.44, SOPs (G)=1.252, Power (mJ)=1.4762025.1296.3—
Ta-CNNPublication=AAAI20222023.0396.1—
Signal-SGN (4 ensemble)Param. (M)=1.74, FLOPs (G)=6.48, SOPs (G)=1.28, Power (mJ)=1.4882025.1295.9—
DC-GCN+ADG2023.0495.3—
DC-GCN+ADGPublication=ECCV20202023.0395.3—
Shift-STGCN2023.0494.6—
Shift-GCNPublication=CVPR20202023.0394.6—
Shift-GCNFLOPs (G)=10, Power (mJ)=462025.1294.6—
DropGraphModality=S2021.1093.8—
Signal-SGN++ (Bone+Joint)Param. (M)=1.72, FLOPs (G)=3.22, SOPs (G)=0.626, Power (mJ)=0.7382025.1293.7—
Signal-SGN++ (Joint)Param. (M)=1.72, FLOPs (G)=1.61, SOPs (G)=0.313, Power (mJ)=0.3692025.1293.5—
AGC-LSTM2023.0493.3—
AGC-LSTMInput level=Joint&Part2019.0293.3—
AGC-LSTMPublication=CVPR20192023.0393.3—
Signal-SGN (Bone+Joint)Param. (M)=1.74, FLOPs (G)=3.24, SOPs (G)=0.628, Power (mJ)=0.7442025.1293.1—
Signal-SGN (Joint)Param. (M)=1.74, FLOPs (G)=1.62, SOPs (G)=0.314, Power (mJ)=0.3722025.1292.7—
MK-SGNParam. (M)=2.17, FLOPs (G)=7.84, SOPs (G)=0.68, Power (mJ)=0.6142025.1292.3—
AGC-LSTMInput level=Joint2019.0292.2—
AGC-LSTMInput level=Part2019.0290.1—
Spike-driven Transformer V2Param. (M)=11.47, FLOPs (G)=38.28, SOPs (G)=2.59, Power (mJ)=2.912025.1289.4—
Ensemble TS-LSTMYear=20172019.0289.2—
STAttenParam. (M)=3.19, FLOPs (G)=25.48, SOPs (G)=1.98, Power (mJ)=2.482025.1286.9—
Spiking Wavelet TransformerParam. (M)=3.24, FLOPs (G)=19.3, SOPs (G)=1.48, Power (mJ)=2.012025.1286.7—
Visualization CNNYear=20172019.0286.1—
SpikformerParam. (M)=4.78, FLOPs (G)=24.07, SOPs (G)=1.69, Power (mJ)=2.172025.1285.4—
P&CModality=S, Classifier=1-NN2021.1084.9—
MCAE-MP (SLP)Modality=S, Classifier=SLP2021.1083.6—
Spike-driven TransformerParam. (M)=4.77, FLOPs (G)=23.5, SOPs (G)=1.57, Power (mJ)=1.932025.1283.4—
SeBiReNetModality=S, Classifier=LSTM2021.1080.3—
MCAE-MP (1-NN)Modality=S, Classifier=1-NN2021.1079.1—
HBRNN-LYear=20152019.0278.5—
MS2LModality=S, Classifier=SLP2021.1076.8—
Actionlet ensembleYear=20142019.0276—
LongT GANModality=S, Classifier=SLP2021.1074.3—
Lie groupYear=20142019.0274.2—
Li et al.Modality=S+D, Classifier=SLP2021.1062.5—
Luo et al.Modality=S+D, Classifier=SLP2021.1050.7—
4s-GSTNArchitecture Type=Transformer, Source=Symmetry'222024.07—95.9
Actionlet ensemble2021.07—76
AGC-LSTMType=RNN, Frames=1002024.03—93.3
AGC-LSTM2021.07—93.3
CTR-GCNType=GCN, Frames=642024.03—96.5
CTR-GCNArchitecture Type=GCN, Source=ICCV'212024.07—96.5
CTR-GCN2021.07—96.5
DC-GCN+ADG2021.07—95.3
Ensemble TS-LSTM2021.07—89.2
FG-STFormerArchitecture Type=Transformer, Source=ACCV'222024.07—97
FR-HeadType=GCN, Frames=642024.03—96.8
FR-HeadArchitecture Type=GCN, Source=CVPR 232024.07—96.8
FreqMixFormerArchitecture Type=Transformer, Source=Ours2024.07—97.7
HBRNN-L2021.07—78.5
HD-GCNType=GCN, Frames=642024.03—96.9
HD-GCNArchitecture Type=GCN, Source=ICCV'232024.07—96.9
HyperformerType=Transformer, Frames=642024.03—96.7
HyperformerArchitecture Type=Transformer, Source=arXiv'222024.07—96.7
InfoGCNArchitecture Type=GCN, Source=CVPR 222024.07—96
KoopmanType=GCN, Frames=642024.03—97
KoopmanArchitecture Type=GCN, Source=CVPR 232024.07—96.8
Lie Group2021.07—74.2
LSTType=GCN, Frames=642024.03—97.2
Shift-GCNArchitecture Type=GCN, Source=CVPR 202024.07—94.6
Shift-GCN2021.07—94.6
SiT-MLPArchitecture Type=Transformer, Source=arXiv'232024.07—96.5
SkateFormerType=Transformer, Frames=642024.03—98.3
SkeMixFormer*Architecture Type=Transformer, Source=ACMMM'23, Implementation Note=Implemented based on released codes2024.07—97.4
STC-NetType=GCN, Frames=642024.03—97.2
Stream-GCNArchitecture Type=GCN, Source=IJCAI 232024.07—96.8
STSTArchitecture Type=Transformer, Source=ACMMM'212024.07—97
TA-CNNType=CNN, Frames=642024.03—96.1