Action Localization on NTU RGB+D 120

Metric: Accuracy (Cross-Subject) (higher is better)

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#	Model↕	Accuracy (Cross-Subject)▼	Extra Data	Paper	Date↕	Code
1	ProtoGCN	90.9	No	Revealing Key Details to See Differences: A Nove...	2024-11-28	Code
2	JMDA (based on Skeleton MixFormer)	90.9	No	-	-	Code
3	LA-GCN	90.7	Yes	Language Knowledge-Assisted Representation Learn...	2023-05-21	Code
4	MSA-GCN	90.6	No	-	-	-
5	Shap-Mix	90.4	No	Shap-Mix: Shapley Value Guided Mixing for Long-T...	2024-07-17	Code
6	MMCL	90.3	Yes	Multi-Modality Co-Learning for Efficient Skeleto...	2024-07-22	Code
7	BlockGCN	90.3	No	-	-	Code
8	TSGCNeXt	90.2	No	TSGCNeXt: Dynamic-Static Multi-Graph Convolution...	2023-04-23	Code
9	HD-GCN	90.1	No	Hierarchically Decomposed Graph Convolutional Ne...	2022-08-23	Code
10	MAMP	90	No	Masked Motion Predictors are Strong 3D Action Re...	2023-08-14	Code
11	STEP-CATFormer	90	Yes	STEP CATFormer: Spatial-Temporal Effective Body-...	2023-12-06	Code
12	Hyperformer	89.9	No	Hypergraph Transformer for Skeleton-based Action...	2022-11-17	Code
13	LST	89.9	Yes	Generative Action Description Prompts for Skelet...	2022-08-10	Code
14	SkateFormer	89.8	No	SkateFormer: Skeletal-Temporal Transformer for H...	2024-03-14	Code
15	InfoGCN	89.8	No	-	-	Code
16	Stream-GCN	89.7	No	Action Recognition with Multi-stream Motion Mode...	2023-06-13	-
17	DG-STGCN	89.6	No	DG-STGCN: Dynamic Spatial-Temporal Modeling for ...	2022-10-12	Code
18	SkeletonGCL (based on CTR-GCN)	89.5	No	Graph Contrastive Learning for Skeleton-based Ac...	2023-01-26	Code
19	JPFormer	89.4	No	-	-	Code
20	TCA-GCN	89.4	No	Skeleton-based Action Recognition via Temporal-C...	2022-05-31	Code
21	PSUMNet	89.4	No	PSUMNet: Unified Modality Part Streams are All Y...	2022-08-11	Code
22	DSTSA-GCN	89.12	No	DSTSA-GCN: Advancing Skeleton-Based Gesture Reco...	2025-01-21	Code
23	TSGCNeXT	89.1	No	TSGCNeXt: Dynamic-Static Multi-Graph Convolution...	2023-04-23	Code
24	CTR-GCN	88.9	No	Channel-wise Topology Refinement Graph Convoluti...	2021-07-26	Code
25	Lit-llama	88.7	No	LLMs are Good Action Recognizers	2024-03-31	-
26	STGAT	88.7	No	Spatial Temporal Graph Attention Network for Ske...	2022-08-18	Code
27	EfficientGCN-B4	88.7	No	Constructing Stronger and Faster Baselines for S...	2021-06-29	Code
28	ST-GCN++ [PYSKL, 3D Skeleton]	88.6	No	PYSKL: Towards Good Practices for Skeleton Actio...	2022-05-19	Code
29	DualHead-Net	88.2	No	Learning Multi-Granular Spatio-Temporal Graph Ne...	2021-08-10	Code
30	EfficientGCN-B2	87.9	No	Constructing Stronger and Faster Baselines for S...	2021-06-29	Code
31	Skeletal GNN	87.5	No	Learning Skeletal Graph Neural Networks for Hard...	2021-08-16	-
32	MaskCLR	87.4	No	-	-	-
33	MSSTNet	87.4	No	-	-	Code
34	PA-ResGCN-B19	87.3	No	Stronger, Faster and More Explainable: A Graph C...	2020-10-20	Code
35	PoseC3D (w. HRNet 2D Skeleton)	86.9	No	Revisiting Skeleton-based Action Recognition	2021-04-28	Code
36	VPN	86.3	Yes	VPN: Learning Video-Pose Embedding for Activitie...	2020-07-06	Code
37	ST-GCN [PYSKL, 3D Skeleton]	86.2	No	Spatial Temporal Graph Convolutional Networks fo...	2018-01-23	Code
38	EfficientGCN-B0	85.9	No	Constructing Stronger and Faster Baselines for S...	2021-06-29	Code
39	VA-CNN (ResNeXt-101)	84.88	No	-	-	-
40	S-TR (2-stream)	84.8	No	Continual Spatio-Temporal Graph Convolutional Ne...	2022-03-21	Code
41	CoS-TR* (2-stream)	84.8	No	Continual Spatio-Temporal Graph Convolutional Ne...	2022-03-21	Code
42	ST-GCN [PYSKL, 2D Skeleton]	84.7	No	Spatial Temporal Graph Convolutional Networks fo...	2018-01-23	Code
43	3s-HYSP	84.5	No	HYperbolic Self-Paced Learning for Self-Supervis...	2023-03-10	Code
44	CoST-GCN* (2-stream)	84	No	Continual Spatio-Temporal Graph Convolutional Ne...	2022-03-21	Code
45	AGCN (2-stream)	84	No	Continual Spatio-Temporal Graph Convolutional Ne...	2022-03-21	Code
46	ST-GCN (2-stream)	83.7	No	Continual Spatio-Temporal Graph Convolutional Ne...	2022-03-21	Code
47	HYSP	81.4	No	HYperbolic Self-Paced Learning for Self-Supervis...	2023-03-10	Code
48	3s-USDRL (DSTE) This work	80.6	No	USDRL: Unified Skeleton-Based Dense Representati...	2024-12-12	Code
49	CoAGCN* (2-stream)	80.4	No	Continual Spatio-Temporal Graph Convolutional Ne...	2022-03-21	Code
50	S-TR (1-stream)	80.2	No	Continual Spatio-Temporal Graph Convolutional Ne...	2022-03-21	Code
51	CoS-TR* (1-stream)	79.7	No	Continual Spatio-Temporal Graph Convolutional Ne...	2022-03-21	Code
52	AGCN (1-stream)	79.7	No	Continual Spatio-Temporal Graph Convolutional Ne...	2022-03-21	Code
53	CoST-GCN* (1-stream)	79.4	No	Continual Spatio-Temporal Graph Convolutional Ne...	2022-03-21	Code
54	ST-GCN (1-stream)	79	No	Continual Spatio-Temporal Graph Convolutional Ne...	2022-03-21	Code
55	CoAGCN* (1-stream)	77.3	No	Continual Spatio-Temporal Graph Convolutional Ne...	2022-03-21	Code

#1ProtoGCNSOTA
90.9
Accuracy (Cross-Subject)· 2024-11-28
Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition Code
#2JMDA (based on Skeleton MixFormer)
90.9
Accuracy (Cross-Subject)
No paperCode
#3LA-GCNSOTA
90.7
Accuracy (Cross-Subject)· Extra Data· 2023-05-21
Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition Code
#4MSA-GCN
90.6
Accuracy (Cross-Subject)
No paper
#5Shap-Mix
90.4
Accuracy (Cross-Subject)· 2024-07-17
Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition Code
#6MMCL
90.3
Accuracy (Cross-Subject)· Extra Data· 2024-07-22
Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition Code
#7BlockGCN
90.3
Accuracy (Cross-Subject)
No paperCode
#8TSGCNeXtSOTA
90.2
Accuracy (Cross-Subject)· 2023-04-23
TSGCNeXt: Dynamic-Static Multi-Graph Convolution for Efficient Skeleton-Based Action Recognition with Long-term Learning Potential Code
#9HD-GCNSOTA
90.1
Accuracy (Cross-Subject)· 2022-08-23
Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition Code
#10MAMP
90
Accuracy (Cross-Subject)· 2023-08-14
Masked Motion Predictors are Strong 3D Action Representation Learners Code
#11STEP-CATFormer
90
Accuracy (Cross-Subject)· Extra Data· 2023-12-06
STEP CATFormer: Spatial-Temporal Effective Body-Part Cross Attention Transformer for Skeleton-based Action Recognition Code
#12Hyperformer
89.9
Accuracy (Cross-Subject)· 2022-11-17
Hypergraph Transformer for Skeleton-based Action Recognition Code
#13LSTSOTA
89.9
Accuracy (Cross-Subject)· Extra Data· 2022-08-10
Generative Action Description Prompts for Skeleton-based Action Recognition Code
#14SkateFormer
89.8
Accuracy (Cross-Subject)· 2024-03-14
SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition Code
#15InfoGCN
89.8
Accuracy (Cross-Subject)
No paperCode
#16Stream-GCN
89.7
Accuracy (Cross-Subject)· 2023-06-13
Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization
#17DG-STGCN
89.6
Accuracy (Cross-Subject)· 2022-10-12
DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition Code
#18SkeletonGCL (based on CTR-GCN)
89.5
Accuracy (Cross-Subject)· 2023-01-26
Graph Contrastive Learning for Skeleton-based Action Recognition Code
#19JPFormer
89.4
Accuracy (Cross-Subject)
No paperCode
#20TCA-GCNSOTA
89.4
Accuracy (Cross-Subject)· 2022-05-31
Skeleton-based Action Recognition via Temporal-Channel Aggregation Code
#21PSUMNet
89.4
Accuracy (Cross-Subject)· 2022-08-11
PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition Code
#22DSTSA-GCN
89.12
Accuracy (Cross-Subject)· 2025-01-21
DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling Code
#23TSGCNeXT
89.1
Accuracy (Cross-Subject)· 2023-04-23
TSGCNeXt: Dynamic-Static Multi-Graph Convolution for Efficient Skeleton-Based Action Recognition with Long-term Learning Potential Code
#24CTR-GCNSOTA
88.9
Accuracy (Cross-Subject)· 2021-07-26
Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition Code
#25Lit-llama
88.7
Accuracy (Cross-Subject)· 2024-03-31
LLMs are Good Action Recognizers
#26STGAT
88.7
Accuracy (Cross-Subject)· 2022-08-18
Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition Code
#27EfficientGCN-B4SOTA
88.7
Accuracy (Cross-Subject)· 2021-06-29
Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition Code
#28ST-GCN++ [PYSKL, 3D Skeleton]
88.6
Accuracy (Cross-Subject)· 2022-05-19
PYSKL: Towards Good Practices for Skeleton Action Recognition Code
#29DualHead-Net
88.2
Accuracy (Cross-Subject)· 2021-08-10
Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition Code
#30EfficientGCN-B2
87.9
Accuracy (Cross-Subject)· 2021-06-29
Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition Code
#31Skeletal GNN
87.5
Accuracy (Cross-Subject)· 2021-08-16
Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation
#32MaskCLR
87.4
Accuracy (Cross-Subject)
No paper
#33MSSTNet
87.4
Accuracy (Cross-Subject)
No paperCode
#34PA-ResGCN-B19SOTA
87.3
Accuracy (Cross-Subject)· 2020-10-20
Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition Code
#35PoseC3D (w. HRNet 2D Skeleton)
86.9
Accuracy (Cross-Subject)· 2021-04-28
Revisiting Skeleton-based Action Recognition Code
#36VPNSOTA
86.3
Accuracy (Cross-Subject)· Extra Data· 2020-07-06
VPN: Learning Video-Pose Embedding for Activities of Daily Living Code
#37ST-GCN [PYSKL, 3D Skeleton]SOTA
86.2
Accuracy (Cross-Subject)· 2018-01-23
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition Code
#38EfficientGCN-B0
85.9
Accuracy (Cross-Subject)· 2021-06-29
Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition Code
#39VA-CNN (ResNeXt-101)
84.88
Accuracy (Cross-Subject)
No paper
#40S-TR (2-stream)
84.8
Accuracy (Cross-Subject)· 2022-03-21
Continual Spatio-Temporal Graph Convolutional Networks Code
#41CoS-TR* (2-stream)
84.8
Accuracy (Cross-Subject)· 2022-03-21
Continual Spatio-Temporal Graph Convolutional Networks Code
#42ST-GCN [PYSKL, 2D Skeleton]
84.7
Accuracy (Cross-Subject)· 2018-01-23
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition Code
#433s-HYSP
84.5
Accuracy (Cross-Subject)· 2023-03-10
HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations Code
#44CoST-GCN* (2-stream)
84
Accuracy (Cross-Subject)· 2022-03-21
Continual Spatio-Temporal Graph Convolutional Networks Code
#45AGCN (2-stream)
84
Accuracy (Cross-Subject)· 2022-03-21
Continual Spatio-Temporal Graph Convolutional Networks Code
#46ST-GCN (2-stream)
83.7
Accuracy (Cross-Subject)· 2022-03-21
Continual Spatio-Temporal Graph Convolutional Networks Code
#47HYSP
81.4
Accuracy (Cross-Subject)· 2023-03-10
HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations Code
#483s-USDRL (DSTE) This work
80.6
Accuracy (Cross-Subject)· 2024-12-12
USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation Code
#49CoAGCN* (2-stream)
80.4
Accuracy (Cross-Subject)· 2022-03-21
Continual Spatio-Temporal Graph Convolutional Networks Code
#50S-TR (1-stream)
80.2
Accuracy (Cross-Subject)· 2022-03-21
Continual Spatio-Temporal Graph Convolutional Networks Code
#51CoS-TR* (1-stream)
79.7
Accuracy (Cross-Subject)· 2022-03-21
Continual Spatio-Temporal Graph Convolutional Networks Code
#52AGCN (1-stream)
79.7
Accuracy (Cross-Subject)· 2022-03-21
Continual Spatio-Temporal Graph Convolutional Networks Code
#53CoST-GCN* (1-stream)
79.4
Accuracy (Cross-Subject)· 2022-03-21
Continual Spatio-Temporal Graph Convolutional Networks Code
#54ST-GCN (1-stream)
79
Accuracy (Cross-Subject)· 2022-03-21
Continual Spatio-Temporal Graph Convolutional Networks Code
#55CoAGCN* (1-stream)
77.3
Accuracy (Cross-Subject)· 2022-03-21
Continual Spatio-Temporal Graph Convolutional Networks Code