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ResearchFormerly WizWand

Skeleton-based Action Recognition on NTU-RGB+D 120 (Cross-setup)

96.4AccuracySkeleT
65.7273.68581.6589.615Apr 2, 2019May 17, 2020Jul 2, 2021Aug 17, 2022Oct 2, 2023Nov 16, 2024Jan 1, 2026
Updated 8mo ago

Evaluation results

MethodLinks
SkeleTGFLOPs=9.6, Params(M)=5.22026.0196.4
Ours (BHaRNet-P)variant=probabilistic, GFLOPs=6.8, Params(M)=9.72026.0195.8
Ours (BHaRNet-E)variant=probabilistic, GFLOPs=10.9, Params(M)=11.02026.0195.7
Ours (BHaRNet-B)variant=probabilistic, GFLOPs=6.6, Params(M)=5.52026.0195.5
BHaRNet-P†GFLOPs=3.4, Params(M)=4.92026.0195.2
BHaRNet-E†GFLOPs=5.4, Params(M)=5.52026.0195
BHaRNet-B†GFLOPs=3.3, Params(M)=2.82026.0194.9
3MformerGFLOPs=58.5, Params(M)=6.72026.0193.8
ProtoGCNGFLOPs=43.4, Params(M)=24.92026.0192.2
DeGCNGFLOPs=6.9, Params(M)=5.62026.0192.1
HD-GCNEnsemble size=6, GFLOPs=9.60, # Param. (M)=10.082022.0891.6
HD-GCNModality=Joint stream, Stream type=Multi-stream, Ensemble=6-ensemble, GFLOPs=9.6, # Param. (M)=10.082022.0891.6
BlockGCNGFLOPs=6.5, Params(M)=5.22026.0191.5
InfoGCNEnsemble size=6, GFLOPs=10.08, # Param. (M)=9.422022.0891.2
HD-GCNEnsemble size=4, GFLOPs=6.40, # Param. (M)=6.722022.0891.2
InfoGCNModality=Joint stream, Stream type=Multi-stream, Ensemble=6-ensemble, GFLOPs=10.08, # Param. (M)=9.422022.0891.2
HD-GCNModality=Joint stream, Stream type=Multi-stream, Ensemble=4-ensemble, GFLOPs=6.4, # Param. (M)=6.722022.0891.2
InfoGCNGFLOPs=10.0*, Params(M)=9.42026.0191.2
FR-HeadParam. (M)=1.3, FLOPs (G)=7.08, Power (mJ)=32.572025.1290.9
InfoGCNEnsemble size=4, GFLOPs=6.72, # Param. (M)=6.282022.0890.7
InfoGCNModality=Joint stream, Stream type=Multi-stream, Ensemble=4-ensemble, GFLOPs=6.72, # Param. (M)=6.282022.0890.7
Info-GCNParam. (M)=1.6, FLOPs (G)=7.36, Power (mJ)=33.862025.1290.7
CTR-GCNEnsemble size=4, GFLOPs=7.88, # Param. (M)=5.842022.0890.6
CTR-GCNModality=Joint stream, Stream type=Multi-stream, Ensemble=4-ensemble, GFLOPs=7.88, # Param. (M)=5.842022.0890.6
CTR-GCNGFLOPs=7.9, Params(M)=5.82026.0190.6
CTR-GCNParam. (M)=1.46, FLOPs (G)=7.88, Power (mJ)=36.252025.1290.6
PoseConv3DGFLOPs=31.8, Params(M)=4.02026.0190.3
JOLO-GCNModality=S2021.1089.7
AGE-EnsInput=S(J)&S(B)&S(J+B)&V(J+B), # Ens=42021.0589.2
AGE-EnsInput=S(B)&S(J+B)&V(J+B), # Ens=32021.0589.1
DSTA-Net2020.0789
AGE-EnsInput=S(J+B)&V(J+B), # Ens=22021.0588.8
Dynamic GCN2020.0788.6
MS-G3D NetYear=20202020.0788.4
MS-G3DYear=2020, # Ens=22021.0588.4
MS-G3DParam. (M)=3.19, FLOPs (G)=48.88, Power (mJ)=239.512025.1288.4
PA-ResGCN-B19Inference speed (sequences/(second*GPU))=38.3, Parameter number (million)=3.642020.1088.3
MSTYear=2021, # Ens=22021.0588.3
DeCoupleGCNYear=2020, # Ens=42021.0588.1
JOLO-GCNModality=S2021.1087.6
FGCN2020.0387.4
Ta-CNNYear=2022, # Ens=22021.0587.3
HD-GCNModality=Joint stream, Stream type=Single-stream, GFLOPs=1.6, # Param. (M)=1.682022.0887.3
BSL-EnsInput=S(J)&S(B)&S(J+B)&V(J+B), # Ens=42021.0587.2
PA-ResGCN-N51Inference speed (sequences/(second*GPU))=54.8, Parameter number (million)=1.142020.1087.1
BSL-EnsInput=S(B)&S(J+B)&V(J+B), # Ens=32021.0586.9
AdaSGNYear=2021, # Ens=42021.0586.8
Efficient-Self-AttentionYear=2022, # Ens=42021.0586.8
AGE-SInput=Joint+Bone, # Ens=12021.0586.8
AGE-EnsInput=S(B)&V(B), # Ens=22021.0586.8
MS-G3DModality=Joint stream, Stream type=Single-stream, GFLOPs=5.22, # Param. (M)=3.222022.0886.8
Shift-GCNFLOPs (G)=10, Power (mJ)=462025.1286.6
CTR-GCNModality=Joint stream, Stream type=Single-stream, GFLOPs=1.97, # Param. (M)=1.462022.0886.5
BSL-EnsInput=S(J+B)&V(J+B), # Ens=22021.0586.4
InfoGCNModality=Joint stream, Stream type=Single-stream, GFLOPs=1.68, # Param. (M)=1.572022.0886.3
DC-GCNModality=Joint stream, Stream type=Single-stream, GFLOPs=2.74, # Param. (M)=3.452022.0886.1
BSL-SInput=Joint+Bone, # Ens=12021.0586
AGE-EnsInput=S(J)&V(J), # Ens=22021.0585.8
ResGCN-B19 (Basic)Inference speed (sequences/(second*GPU))=44.0, Parameter number (million)=3.262020.1085.7
BSL-EnsInput=S(B)&V(B), # Ens=22021.0585.6
AGE-SInput=Bone, # Ens=12021.0585.5
BSL-SInput=Bone, # Ens=12021.0585.3
BSL-EnsInput=S(J)&V(J), # Ens=22021.0585.2
AGE-VInput=Bone, # Ens=12021.0585.1
2s-AGCNYear=20192020.0784.9
AGE-VInput=Joint+Bone, # Ens=12021.0584.6
DropGraphModality=S2021.1084.3
2S-AGCNParam. (M)=3.48, FLOPs (G)=37.32, Power (mJ)=182.872025.1284.3
2s-AGCNInference speed (sequences/(second*GPU))=22.3, Parameter number (million)=6.942020.1084.2
ResGCN-N51 (Bottleneck)Inference speed (sequences/(second*GPU))=67.4, Parameter number (million)=0.772020.1084.2
AGE-SInput=Joint, # Ens=12021.0583.7
AGE-VInput=Joint, # Ens=12021.0583.7
BSL-SInput=Joint, # Ens=12021.0583.5
DropGraphModality=S2021.1082.4
BSL-VInput=Bone, # Ens=12021.0582
SGNSemantics=Included2019.0481.5
SGNYear=2020, # Ens=12021.0581.5
BSL-VInput=Joint+Bone, # Ens=12021.0581.5
BSL-VInput=Joint, # Ens=12021.0580.8
GVFE + AS-GCN2020.0379.8
AS-GCN+DH-TCN2020.1079.8
LSTM-IRN2020.0379.6
SGNSemantics=Excluded2019.0479.2
AS-GCN2020.0378.9
Signal-SGN++ (4 ensemble)Param. (M)=1.72, FLOPs (G)=6.44, SOPs (G)=1.252, Power (mJ)=1.4762025.1278.9
AS-GCNParameter number (million)=6.992020.1078.5
Signal-SGN (4 ensemble)Param. (M)=1.74, FLOPs (G)=6.48, SOPs (G)=1.28, Power (mJ)=1.4882025.1277.9
Signal-SGN++ (Bone+Joint)Param. (M)=1.72, FLOPs (G)=3.22, SOPs (G)=0.626, Power (mJ)=0.7382025.1275.6
RA-GCNInference speed (sequences/(second*GPU))=18.7, Parameter number (million)=6.212020.1075.3
Signal-SGN (Bone+Joint)Param. (M)=1.74, FLOPs (G)=3.24, SOPs (G)=0.628, Power (mJ)=0.7442025.1274.2
ST-GCNInference speed (sequences/(second*GPU))=42.9, Parameter number (million)=3.102020.1073.2
ST-GCNParam. (M)=3.1, FLOPs (G)=3.48, Power (mJ)=16.012025.1273.2
Signal-SGN++ (Joint)Param. (M)=1.72, FLOPs (G)=1.61, SOPs (G)=0.313, Power (mJ)=0.3692025.1273.2
Signal-SGN (Joint)Param. (M)=1.74, FLOPs (G)=1.62, SOPs (G)=0.314, Power (mJ)=0.3722025.1272.1
ST-GCN2020.0371.3
MK-SGNParam. (M)=2.17, FLOPs (G)=7.84, SOPs (G)=0.68, Power (mJ)=0.6142025.1269.5
Body Pose Evolution MapYear=20182019.0466.9
Body Pose Evolution MapYear=20182020.0766.9
SkeletonMotionYear=20192020.0766.9
BPEMYear=20182020.0766.9