Group Activity Recognition On Volleyball

Metrics

Accuracy

Results

Performance results of various models on this benchmark

		Paper Title
Tamura et al.	96.0	Hunting Group Clues with Transformers for Social Group Activity Recognition
COMPOSER	94.69	COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality
DIN (VGG16)	93.6	Spatio-Temporal Dynamic Inference Network for Group Activity Recognition
D. Xu et al.	93.49	Group Activity Recognition by Using Effective Multiple Modality Relation Representation With Temporal-Spatial Attention
Joint learning (5-fusion)	93.3	Group Activity Recognition Using Joint Learning of Individual Action Recognition and People Grouping
POGARS	93.2	Pose is all you need: The pose only group activity recognition system (POGARS)
CHASE(CTR-GCN)	92.89	CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition
PoseC3D (Pose-Only)	91.3	Revisiting Skeleton-based Action Recognition
Zappardino et al.	91.0	Learning Group Activities from Skeletons without Individual Action Labels
Zappardino et al. (SSAL)	89.4	Learning Group Activities from Skeletons without Individual Action Labels
H-LSTCM	88.4	Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition
Shu et al.	83.6	CERN: Confidence-Energy Recurrent Network for Group Activity Recognition

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Group Activity Recognition On Volleyball | SOTA | HyperAI