Action Recognition In Videos On Ntu Rgbd

Métriques

Accuracy (CS)

Accuracy (CV)

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	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 $π$! 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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