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SotA/Robots/Activity Recognition/Volleyball

Activity Recognition on Volleyball

Metric: Accuracy (higher is better)

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Results

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1Tamura et al.96YesHunting Group Clues with Transformers for Social...2022-07-12-
2COMPOSER94.69NoCOMPOSER: Compositional Reasoning of Group Activ...2021-12-11Code
3DIN (VGG16)93.6NoSpatio-Temporal Dynamic Inference Network for Gr...2021-08-26Code
4D. Xu et al.93.49No---
5Joint learning (5-fusion)93.3No--Code
6POGARS93.2NoPose is all you need: The pose only group activi...2021-08-09-
7CHASE(CTR-GCN)92.89NoCHASE: Learning Convex Hull Adaptive Shift for S...2024-10-09Code
8PoseC3D (Pose Only)91.3NoRevisiting Skeleton-based Action Recognition2021-04-28Code
9PoseC3D (Pose-Only)91.3NoRevisiting Skeleton-based Action Recognition2021-04-28Code
10Zappardino et al.91NoLearning Group Activities from Skeletons without...2021-05-14Code
11Zappardino et al. (SSAL)89.4NoLearning Group Activities from Skeletons without...2021-05-14Code
12H-LSTCM88.4NoHierarchical Long Short-Term Concurrent Memory f...2018-11-01-
13Shu et al.83.6NoCERN: Confidence-Energy Recurrent Network for Gr...2017-04-10-
14GTT (VGG19)82.6NoSocial Scene Understanding: End-to-End Multi-Per...2016-11-28-
15SSU (GT)81.8NoSocial Scene Understanding: End-to-End Multi-Per...2016-11-28-
16SSU (PRO)77.4No---