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Skeleton Action Recognition on NTU RGB+D 120 (Xsub)

94.8Accuracy

Ours (BHaRNet-P)

Updated 4d ago

Evaluation Results

Method	Links
Ours (BHaRNet-P) 2026.01		94.8	-	-	-	-	-	-	-
Ours (BHaRNet-E) 2026.01		94.7	-	-	-	-	-	-	-
SkeleT 2026.01		94.6	-	-	-	-	-	-	-
Ours (BHaRNet-B) 2026.01		94.5	-	-	-	-	-	-	-
BHaRNet-E† 2026.01		94.3	-	-	-	-	-	-	-
BHaRNet-P† 2026.01		94.3	-	-	-	-	-	-	-
BHaRNet-B† 2026.01		94	-	-	-	-	-	-	-
3Mformer 2026.01		92	-	-	-	-	-	-	-
DeGCN 2026.01		91	-	-	-	-	-	-	-
ProtoGCN 2026.01		90.9	-	-	-	-	-	-	-
BlockGCN 2026.01		90.3	-	-	-	-	-	-	-
InfoGCN 2026.01		89.8	-	-	-	-	-	-	-
CTR-GCN 2026.01		88.9	-	-	-	-	-	-	-
PoseConv3D 2026.01		86.9	-	-	-	-	-	-	-
Neuron 2024.11		57.1	67.5	44.4	53.6	-	-	-	-
PURLS 2024.11		52	-	-	-	-	-	-	-
SA-DAVE 2024.11		46.1	58.8	35.8	44.5	-	-	-	-
STAR 2024.04		44.3	51.2	36.9	42.9	-	-	-	-
STAR 2024.11		44.3	51.2	36.9	42.9	-	-	-	-
SMIE 2024.04		42.3	-	-	-	-	-	-	-
SMIE 2024.11		42.3	-	-	-	-	-	-	-
SynSE 2024.04		41.9	48.1	32.9	39.1	-	-	-	-
SynSE 2024.11		41.9	48.1	32.9	39.1	-	-	-	-
CADA-VAE 2024.04		38.7	48.3	27.5	35.1	-	-	-	-
CADA-VAE 2024.11		38.7	48.3	27.5	35.1	-	-	-	-
JPOSE 2024.04		38.1	41	3.8	6.9	-	-	-	-
JPoSE 2024.11		38.1	41	3.8	6.9	-	-	-	-
ReViSE 2024.04		8.5	3.4	1.5	2.1	-	-	-	-
ReViSE 2024.11		8.5	3.4	1.5	2.1	-	-	-	-
ST-GCN (*) 2024.03		-	-	-	-	82.1	83.7	80.3	80.6
CTR-GCN 2024.03		-	-	-	-	84.9	85.7	81.4	81.2
CTR-GCN (*) 2024.03		-	-	-	-	84	85.9	81.1	82.2
ST-GCN++ 2024.03		-	-	-	-	83.2	85.6	80.4	81.5
InfoGCN 2024.03		-	-	-	-	85.1	87.3	82.1	82.5
FR-Head 2024.03		-	-	-	-	85.5	86.8	81.9	82
LST 2024.03		-	-	-	-	85.5	87.5	82.3	82.4
HD-GCN 2024.03		-	-	-	-	85.7	86.7	-	-
SkateFormer 2024.03		-	-	-	-	87.7	88.2	83.1	82.3