Hulk: A Universal Knowledge Translator for Human-Centric Tasks | ✓ Link | 94.3 | | | | Hulk(Finetune, ViT-L) | 2023-12-04 |
Revisiting Skeleton-based Action Recognition | ✓ Link | 94.1 | 97.1 | 2 | | PoseC3D [3D Heatmap] | 2021-04-28 |
Hulk: A Universal Knowledge Translator for Human-Centric Tasks | ✓ Link | 94 | | | | Hulk(Finetune, ViT-B) | 2023-12-04 |
MaskCLR: Attention-Guided Contrastive Learning for Robust Action Representation Learning | | 93.9 | 97.3 | | | MaskCLR | 2024-01-01 |
Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition | ✓ Link | 93.8 | 97.8 | 6 | | ProtoGCN | 2024-11-28 |
Joint Mixing Data Augmentation for Skeleton-based Action Recognition | ✓ Link | 93.7 | 97.2 | | | JMDA (based on Skeleton MixFormer) | 2024-10-13 |
Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition | ✓ Link | 93.7 | 97.1 | 4 | | Shap-Mix | 2024-07-17 |
MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition | | 93.6 | 97.4 | 6 | | MSA-GCN | 2024-12-19 |
DeGCN: Deformable Graph Convolutional Networks for Skeleton-Based Action Recognition | ✓ Link | 93.6 | 97.4 | | | DeGCN | 2024-03-25 |
Frequency Guidance Matters: Skeletal Action Recognition by Frequency-Aware Mixed Transformer | ✓ Link | 93.6 | | | | FreqMixFormer | 2024-07-17 |
SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition | ✓ Link | 93.5 | 97.8 | 4 | | SkateFormer | 2024-03-14 |
Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition | ✓ Link | 93.5 | 97.4 | 6 | | MMCL | 2024-07-22 |
Language Knowledge-Assisted Representation Learning for Skeleton-Based Action Recognition | ✓ Link | 93.5 | 97.2 | 6 | | LA-GCN | 2023-05-21 |
Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition | ✓ Link | 93.4 | 97.2 | 6 | | HD-GCN | 2022-08-23 |
DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition | ✓ Link | 93.2 | 97.5 | 4 | | DG-STGCN | 2022-10-12 |
STEP CATFormer: Spatial-Temporal Effective Body-Part Cross Attention Transformer for Skeleton-based Action Recognition | ✓ Link | 93.2 | 97.3 | 4 | | STEP-CATFormer | 2023-12-06 |
Joint-Partition Group Attention for skeleton-based action recognition | ✓ Link | 93.2 | 96.9 | 4 | | JPFormer | 2024-07-30 |
Masked Motion Predictors are Strong 3D Action Representation Learners | ✓ Link | 93.1 | 97.5 | | | MAMP | 2023-08-14 |
Graph Contrastive Learning for Skeleton-based Action Recognition | ✓ Link | 93.1 | 97.0 | 4 | | SkeletonGCL (based on CTR-GCN) | 2023-01-26 |
BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition | ✓ Link | 93.1 | 97.0 | | | BlockGCN | 2024-01-01 |
MotionBERT: A Unified Perspective on Learning Human Motion Representations | ✓ Link | 93.0 | 97.2 | | | MotionBert (finetune) | 2022-10-12 |
InfoGCN: Representation Learning for Human Skeleton-Based Action Recognition | ✓ Link | 93.0 | 97.1 | 6 | | InfoGCN | 2022-01-01 |
Generative Action Description Prompts for Skeleton-based Action Recognition | ✓ Link | 92.9 | 97 | 4 | | LST | 2022-08-10 |
Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization | | 92.9 | 96.9 | | | Stream-GCN | 2023-06-13 |
PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition | ✓ Link | 92.9 | 96.7 | | | PSUMNet | 2022-08-11 |
Hypergraph Transformer for Skeleton-based Action Recognition | ✓ Link | 92.9 | 96.5 | 4 | | Hyperformer | 2022-11-17 |
Spatial Temporal Graph Attention Network for Skeleton-Based Action Recognition | ✓ Link | 92.8 | 97.3 | 4 | | STGAT | 2022-08-18 |
Skeleton-based Action Recognition via Temporal-Channel Aggregation | ✓ Link | 92.8 | 97.0 | 4 | | TCA-GCN | 2022-05-31 |
Temporal Decoupling Graph Convolutional Network for Skeleton-based Gesture Recognition | ✓ Link | 92.8 | 96.8 | 4 | | TD-GCN | 2023-05-01 |
DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling | ✓ Link | 92.78 | 97.03 | 4 | | DSTSA-GCN | 2025-01-21 |
Multi-scale spatial–temporal convolutional neural network for skeleton-based action recognition | ✓ Link | 92.6 | 97.8 | | | MSSTNet | 2023-05-12 |
PYSKL: Towards Good Practices for Skeleton Action Recognition | ✓ Link | 92.6 | 97.4 | 4 | | ST-GCN++ [PYSKL, 3D Skeleton] | 2022-05-19 |
Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition | ✓ Link | 92.4 | 96.8 | 4 | | CTR-GCN | 2021-07-26 |
Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition | ✓ Link | 92.1 | 96.1 | | | EfficientGCN-B4 | 2021-06-29 |
Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition | ✓ Link | 92.0 | 96.6 | | | DualHead-Net | 2021-08-10 |
Fusing Higher-order Features in Graph Neural Networks for Skeleton-based Action Recognition | ✓ Link | 91.7 | 96.4 | | | AngNet-JA + BA + JBA + VJBA | 2021-05-04 |
Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation | | 91.6 | 96.7 | 4 | | Skeletal GNN | 2021-08-16 |
Tensor Representations for Action Recognition | ✓ Link | 91.56 | 94.75 | | | SCK⊕ | 2020-12-28 |
Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action Recognition | ✓ Link | 91.5 | 96.4 | | | DSTA-Net | 2020-07-07 |
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition | ✓ Link | 91.5 | 96.2 | | | MS-G3D Net | 2020-03-31 |
Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition | ✓ Link | 91.5 | 96.0 | | | Dynamic GCN | 2020-07-29 |
PYSKL: Towards Good Practices for Skeleton Action Recognition | ✓ Link | 91.4 | 98.3 | 4 | | ST-GCN [PYSKL, 2D Skeleton] | 2022-05-19 |
Temporal Extension Module for Skeleton-Based Action Recognition | | 91.0 | 96.5 | | | MS-AAGCN+TEM | 2020-03-19 |
Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition | ✓ Link | 90.9 | 96 | | | PA-ResGCN-B19 | 2020-10-20 |
Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition | ✓ Link | 90.9 | 95.5 | | | EfficientGCN-B2 | 2021-06-29 |
Skeleton-Based Action Recognition With Shift Graph Convolutional Network | ✓ Link | 90.7 | 96.5 | 4 | | 4s Shift-GCN | 2020-06-01 |
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition | ✓ Link | 90.7 | 96.5 | | | ST-GCN [PYSKL, 3D Skeleton] | 2018-01-23 |
Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition | | 90.3 | 96.4 | | | CGCN | 2020-03-06 |
Focusing and Diffusion: Bidirectional Attentive Graph Convolutional Networks for Skeleton-based Action Recognition | | 90.3 | 96.3 | | | BAGCN | 2019-12-24 |
Feedback Graph Convolutional Network for Skeleton-based Action Recognition | | 90.2 | 96.3 | | | FGCN-spatial+FGCN-motion | 2020-03-17 |
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction | | 90.1 | 96.4 | | | Sym-GNN | 2019-10-05 |
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition | ✓ Link | 90.1 | 95.1 | | | ST-GCN [Vanilla, 2D Skeleton] | 2018-01-23 |
Action Capsules: Human Skeleton Action Recognition | | 90 | 96.3 | | | Action Capsules | 2023-01-30 |
Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks | ✓ Link | 90.0 | 96.2 | | | MS-AAGCN | 2019-12-15 |
Skeleton-Based Action Recognition With Directed Graph Neural Networks | ✓ Link | 89.9 | 96.1 | | | DGNN | 2019-06-01 |
Skeleton-based Action Recognition via Spatial and Temporal Transformer Networks | ✓ Link | 89.9 | 96.1 | | | ST-TR-agcn | 2020-08-17 |
Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition | ✓ Link | 89.9 | 94.7 | | | EfficientGCN-B0 | 2021-06-29 |
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition | | 89.7 | 96 | | | Mix-Dimension | 2020-07-30 |
Spatial Residual Layer and Dense Connection Block Enhanced Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition | | 89.58 | 95.74 | | | 2s-SDGCN | 2019-10-27 |
Action Recognition for Privacy-Preserving Ambient Assisted Living | ✓ Link | 89.57 | 94.90 | Only joint data | | TD-GDSCN | 2024-08-15 |
Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks | ✓ Link | 89.4 | 96.0 | | | JB-AAGCN | 2019-12-15 |
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching | ✓ Link | 89.4 | 95.7 | | | GCN-NAS | 2019-11-11 |
View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition | ✓ Link | 89.4 | 95.0 | | | VA-fusion (aug.) | 2018-04-20 |
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition | | 89.2 | 95.0 | | | AGC-LSTM (Joint&Part) | 2019-02-25 |
HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations | ✓ Link | 89.1 | 95.2 | | | 3s-HYSP | 2023-03-10 |
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention | | 89.1 | 94.9 | | | SLnL-rFA | 2018-11-10 |
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition | ✓ Link | 89.0 | 94.5 | | | SGN | 2019-04-02 |
Continual Spatio-Temporal Graph Convolutional Networks | ✓ Link | 88.9 | 94.8 | | 0.3 | CoS-TR* (2-stream) | 2022-03-21 |
Three-Stream Convolutional Neural Network With Multi-Task and Ensemble Learning for 3D Action Recognition | | 88.6 | 93.7 | | | 3SCNN | 2019-06-16 |
Non-Local Graph Convolutional Networks for Skeleton-Based Action Recognition | ✓ Link | 88.5 | 95.1 | | | 2s-NLGCN | 2019-07-04 |
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search | ✓ Link | 88.3 | 95.5 | | | AutoGCN | 2024-02-02 |
Continual Spatio-Temporal Graph Convolutional Networks | ✓ Link | 88.3 | 95 | | 0.32 | CoST-GCN* (2-stream) | 2022-03-21 |
PGCN-TCA: Pseudo Graph Convolutional Network With Temporal and Channel-Wise Attention for Skeleton-Based Action Recognition | | 88.0 | 93.6 | | | PGCN-TCA | 2020-01-06 |
Optimized Skeleton-based Action Recognition via Sparsified Graph Regression | | 87.5 | 94.3 | | | GR-GCN | 2018-11-29 |
Part-based Graph Convolutional Network for Action Recognition | ✓ Link | 87.5 | 93.2 | | | PB-GCN | 2018-09-13 |
Richly Activated Graph Convolutional Network for Robust Skeleton-based Action Recognition | ✓ Link | 87.3 | 93.6 | | | 3s RA-GCN | 2020-08-09 |
Self-Attention Network for Skeleton-based Human Action Recognition | | 87.2 | 92.7 | | | TS-SAN | 2019-12-18 |
USDRL: Unified Skeleton-Based Dense Representation Learning with Multi-Grained Feature Decorrelation | ✓ Link | 87.1 | 93.2 | | | 3s-USDRL (DSTE) This work | 2024-12-12 |
Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition | ✓ Link | 86.8 | 94.2 | | | AS-GCN | 2019-04-26 |
Making the Invisible Visible: Action Recognition Through Walls and Occlusions | | 86.8 | 91.6 | | | RF-Action | 2019-09-20 |
Deep Independently Recurrent Neural Network (IndRNN) | ✓ Link | 86.70 | 93.97 | | | Dense IndRNN | 2019-10-11 |
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition | ✓ Link | 86.6 | 93.2 | | | ST-GCN [Vanilla, 3D Skeleton] | 2018-01-23 |
HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations | ✓ Link | 86.5 | 93.5 | | | HYSP | 2023-03-10 |
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation | ✓ Link | 86.5 | 91.1 | | | HCN | 2018-04-17 |
Continual Spatio-Temporal Graph Convolutional Networks | ✓ Link | 86.3 | 93.8 | | 0.16 | CoST-GCN* | 2022-03-21 |
Continual Spatio-Temporal Graph Convolutional Networks | ✓ Link | 86.3 | 92.4 | | 0.15 | CoS-TR* | 2022-03-21 |
A Semantics-Guided Graph Convolutional Network for Skeleton-Based Action Recognition | | 86.2 | 94.2 | | | Sem-GCN | 2020-05-01 |
Continual Spatio-Temporal Graph Convolutional Networks | ✓ Link | 86 | 93.4 | | 16.73 | ST-GCN | 2022-03-21 |
Continual Spatio-Temporal Graph Convolutional Networks | ✓ Link | 86.0 | 93.1 | | 0.44 | CoAGCN* (2-stream) | 2022-03-21 |
Richly Activated Graph Convolutional Network for Action Recognition with Incomplete Skeletons | ✓ Link | 85.9 | 93.5 | | | 3s RA-GCN | 2019-05-16 |
Richly Activated Graph Convolutional Network for Action Recognition with Incomplete Skeletons | ✓ Link | 85.8 | 93.0 | | | 2s RA-GCN | 2019-05-16 |
Predictively Encoded Graph Convolutional Network for Noise-Robust Skeleton-based Action Recognition | ✓ Link | 85.6 | 93.4 | | | PeGCN | 2020-03-17 |
Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition | | 85.3 | 92.8 | | | GVFE + AS-GCN with DH-TCN | 2019-12-20 |
Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition | | 85.2 | 91.7 | | | PR-GCN | 2020-10-14 |
An Attention-Enhanced Recurrent Graph Convolutional Network for Skeleton-Based Action Recognition | | 85.1 | 93.2 | | | AR-GCN | 2019-11-27 |
Skeleton based action recognition using translation-scale invariant image mapping and multi-scale deep cnn | | 85.0 | | | | 3scale ResNet152 | 2017-04-19 |
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning | | 84.8 | 92.4 | | | SR-TSL | 2018-05-07 |
Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition | | 84.3 | 88.8 | | | 3s-ActCLR | 2023-03-20 |
Context-Aware Cross-Attention for Skeleton-Based Human Action Recognition | | 84.23 | 89.27 | | | RGB+Skeleton (cross-attention) | 2020-01-20 |
Continual Spatio-Temporal Graph Convolutional Networks | ✓ Link | 84.1 | 92.6 | | | CoAGCN* | 2022-03-21 |
A Comparative Review of Recent Kinect-based Action Recognition Algorithms | ✓ Link | 83.36 | 88.84 | | | ST-GCN-jpd | 2019-06-24 |
Skeleton-based Action Recognition with Convolutional Neural Networks | ✓ Link | 83.2 | 89.3 | | | CNN+Motion+Trans | 2017-04-25 |
A Comparative Review of Recent Kinect-based Action Recognition Algorithms | ✓ Link | 83 | 89 | | | IndRNN (with jpd) | 2019-06-24 |
Learning Shape-Motion Representations from Geometric Algebra Spatio-Temporal Model for Skeleton-Based Action Recognition | | 82.83 | 90.05 | | | FO-GASTM | 2019-07-08 |
Memory Attention Networks for Skeleton-based Action Recognition | ✓ Link | 82.67 | 93.22 | | | MANs (DenseNet-161) | 2018-04-23 |
3D CNNs on Distance Matrices for Human Action Recognition | ✓ Link | 82.0 | 89.5 | | | DM-3DCNN | 2017-10-23 |
Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition | | 81.8 | 89.0 | | | Bayesian GC-LSTM | 2019-10-01 |
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN | ✓ Link | 81.8 | 88.0 | | | Ind-RNN | 2018-03-13 |
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition | ✓ Link | 81.5 | 88.3 | | | ST-GCN | 2018-01-23 |
Learning Human Pose Models from Synthesized Data for Robust RGB-D Action Recognition | | 80.9 | 86.1 | | | HPM_RGB+HPM_3D+Traj | 2017-07-04 |
Relational Network for Skeleton-Based Action Recognition | | 80.7 | 88.8 | | | ARRN-LSTM | 2018-05-07 |
EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks | | 80.7 | 88.4 | | | EleAtt-GRU (aug.) | 2019-09-03 |
Enhanced skeleton visualization for view invariant human action recognition | | 80.0 | 87.2 | 4 | | Skeleton Visualization | 2017-08-01 |
Adding Attentiveness to the Neurons in Recurrent Neural Networks | | 79.8 | 87.1 | | | EleAtt-GRU | 2018-07-12 |
A New Representation of Skeleton Sequences for 3D Action Recognition | | 79.6 | 84.8 | | | Clips+CNN+MTLN | 2017-03-09 |
A Fine-to-Coarse Convolutional Neural Network for 3D Human Action Recognition | | 79.6 | 84.6 | | | F2CSkeleton | 2018-05-30 |
View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data | ✓ Link | 79.2 | 87.6 | | | VA-LSTM | 2017-03-24 |
SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition | ✓ Link | 76.5 | 84.7 | | | Skelemotion + Yang et al. | 2019-07-30 |
Global Context-Aware Attention LSTM Networks for 3D Action Recognition | | 76.10 | 84.00 | | | GCA-LSTM | 2017-07-01 |
Skeletonnet: Mining deep part features for 3-d action recognition | | 75.9 | 81.2 | | | SkeletonNet | 2017-03-31 |
Adaptive RNN Tree for Large-Scale Human Action Recognition | | 74.6 | 83.2 | | | URNN-2L-T | 2017-10-22 |
Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM Networks | ✓ Link | 74.60 | 81.25 | | | Ensemble TS-LSTM v2 | 2017-10-01 |
Interpretable 3D Human Action Analysis with Temporal Convolutional Networks | ✓ Link | 74.3 | 83.1 | | | TCN | 2017-04-14 |
An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data | | 73.4 | 81.2 | | | STA-LSTM | 2016-11-18 |
Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference Joints | ✓ Link | 73.3 | 80.3 | | | TSRJI (Late Fusion) + HCN | 2019-09-11 |
Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks | | 71.3 | 79.5 | | | Two-Stream RNN | 2017-04-09 |
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition | | 69.2 | 77.7 | | | Spatio-Temporal LSTM | 2016-07-24 |
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis | ✓ Link | 62.93 | 70.27 | | | Part-aware LSTM | 2016-04-11 |
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition | | 61.70 | 75.50 | | | ST-LSTM | 2016-07-24 |
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis | ✓ Link | 60.7 | 67.3 | | | Deep LSTM | 2016-04-11 |
Jointly learning heterogeneous features for rgb-d activity recognition | | 60.2 | 65.2 | | | Dynamic Skeletons | 2016-12-15 |
Hierarchical recurrent neural network for skeleton based action recognition | | 59.1 | 64.0 | | | H-RNN | 2015-06-07 |
Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group | ✓ Link | 50.1 | 52.8 | | | Lie Group | 2014-06-23 |
Skeletal quads: Human action recognition using joint quadruples | | 38.6 | 41.4 | | | Skeleton Quads | 2014-08-24 |
Investigation of Different Skeleton Features for CNN-based 3D Action Recognition | ✓ Link | | 82.31 | | | Five Spatial Skeleton Features | 2017-05-02 |