Activity Recognition on Volleyball

Metric: Accuracy (higher is better)

LeaderboardDataset

Loading chart...

Results

Hide extra data

Sort:

#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	Tamura et al.	96	Yes	Hunting Group Clues with Transformers for Social...	2022-07-12	-
2	COMPOSER	94.69	No	COMPOSER: Compositional Reasoning of Group Activ...	2021-12-11	Code
3	DIN (VGG16)	93.6	No	Spatio-Temporal Dynamic Inference Network for Gr...	2021-08-26	Code
4	D. Xu et al.	93.49	No	-	-	-
5	Joint learning (5-fusion)	93.3	No	-	-	Code
6	POGARS	93.2	No	Pose is all you need: The pose only group activi...	2021-08-09	-
7	CHASE(CTR-GCN)	92.89	No	CHASE: Learning Convex Hull Adaptive Shift for S...	2024-10-09	Code
8	PoseC3D (Pose Only)	91.3	No	Revisiting Skeleton-based Action Recognition	2021-04-28	Code
9	PoseC3D (Pose-Only)	91.3	No	Revisiting Skeleton-based Action Recognition	2021-04-28	Code
10	Zappardino et al.	91	No	Learning Group Activities from Skeletons without...	2021-05-14	Code
11	Zappardino et al. (SSAL)	89.4	No	Learning Group Activities from Skeletons without...	2021-05-14	Code
12	H-LSTCM	88.4	No	Hierarchical Long Short-Term Concurrent Memory f...	2018-11-01	-
13	Shu et al.	83.6	No	CERN: Confidence-Energy Recurrent Network for Gr...	2017-04-10	-
14	GTT (VGG19)	82.6	No	Social Scene Understanding: End-to-End Multi-Per...	2016-11-28	-
15	SSU (GT)	81.8	No	Social Scene Understanding: End-to-End Multi-Per...	2016-11-28	-
16	SSU (PRO)	77.4	No	-	-	-

#1Tamura et al.SOTA
96
Accuracy· Extra Data· 2022-07-12
Hunting Group Clues with Transformers for Social Group Activity Recognition
#2COMPOSERSOTA
94.69
Accuracy· 2021-12-11
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality Code
#3DIN (VGG16)SOTA
93.6
Accuracy· 2021-08-26
Spatio-Temporal Dynamic Inference Network for Group Activity Recognition Code
#4D. Xu et al.
93.49
Accuracy
No paper
#5Joint learning (5-fusion)
93.3
Accuracy
No paperCode
#6POGARSSOTA
93.2
Accuracy· 2021-08-09
Pose is all you need: The pose only group activity recognition system (POGARS)
#7CHASE(CTR-GCN)
92.89
Accuracy· 2024-10-09
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition Code
#8PoseC3D (Pose Only)SOTA
91.3
Accuracy· 2021-04-28
Revisiting Skeleton-based Action Recognition Code
#9PoseC3D (Pose-Only)
91.3
Accuracy· 2021-04-28
Revisiting Skeleton-based Action Recognition Code
#10Zappardino et al.
91
Accuracy· 2021-05-14
Learning Group Activities from Skeletons without Individual Action Labels Code
#11Zappardino et al. (SSAL)
89.4
Accuracy· 2021-05-14
Learning Group Activities from Skeletons without Individual Action Labels Code
#12H-LSTCMSOTA
88.4
Accuracy· 2018-11-01
Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition
#13Shu et al.SOTA
83.6
Accuracy· 2017-04-10
CERN: Confidence-Energy Recurrent Network for Group Activity Recognition
#14GTT (VGG19)SOTA
82.6
Accuracy· 2016-11-28
Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition
#15SSU (GT)
81.8
Accuracy· 2016-11-28
Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition
#16SSU (PRO)
77.4
Accuracy
No paper