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SOTA
Action Recognition
Action Recognition In Videos On Ntu Rgbd
Action Recognition In Videos On Ntu Rgbd
Metrics
Accuracy (CS)
Accuracy (CV)
Results
Performance results of various models on this benchmark
Columns
Model Name
Accuracy (CS)
Accuracy (CV)
Paper Title
Repository
MMNet (RGB + Pose)
96.0
98.8
MMNet: A Model-Based Multimodal Network for Human Action Recognition in RGB-D Videos
FUSION (IR+Pose)
91.8
94.9
Infrared and 3D skeleton feature fusion for RGB-D action recognition
-
VPN (RGB + Pose)
95.5
98.0
VPN: Learning Video-Pose Embedding for Activities of Daily Living
-
STAR-Transformer (RGB + Pose)
92.0
96.5
STAR-Transformer: A Spatio-temporal Cross Attention Transformer for Human Action Recognition
-
PoseC3D (RGB + Pose)
97.0
99.6
Revisiting Skeleton-based Action Recognition
-
ViewCon (RGB + Pose)
93.7
98.9
Multi-View Action Recognition Using Contrastive Learning
DVANet (RGB only)
93.4
98.1
DVANet: Disentangling View and Action Features for Multi-View Action Recognition
-
3DA (RGB + Pose)
94.3
97.9
Cross-Modal Learning with 3D Deformable Attention for Action Recognition
-
PoseMap (RGB+Pose)
91.7
95.2
Recognizing Human Actions as the Evolution of Pose Estimation Maps
-
PB-GCN (Skeleton only)
87.5
93.2
Part-based Graph Convolutional Network for Action Recognition
-
DSSCA-SSLM (RGB only)
74.9
-
Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos
-
UMDR (RGB-D)
96.2
98.0
A Unified Multimodal De- and Re-coupling Framework for RGB-D Motion Recognition
-
DSCNet (RGB + Pose)
97.4
99.4
A Dense-Sparse Complementary Network for Human Action Recognition based on RGB and Skeleton Modalities
TSMF (RGB + Pose)
92.5
97.4
Multimodal Fusion via Teacher-Student Network for Indoor Action Recognition
π-ViT (RGB + Pose)
96.3
99.0
Just Add $\pi$! Pose Induced Video Transformers for Understanding Activities of Daily Living
-
Glimpse Clouds (RGB only)
86.6
93.2
Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points
-
MMTM (RGB+Pose)
91.99
-
MMTM: Multimodal Transfer Module for CNN Fusion
-
B2C-AFM(RGB+Pose)
91.7
-
B2C-AFM: Bi-Directional Co-Temporal and Cross-Spatial Attention Fusion Model for Human Action Recognition
EPP-Net (Parsing + Pose)
94.7
97.7
Explore Human Parsing Modality for Action Recognition
-
Hierarchical Action Classification (RGB + Pose)
95.66
98.79
Hierarchical Action Classification with Network Pruning
-
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