Skeleton Based Action Recognition on PKU-MMD

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mAP@0.50 (CV)

Rank	Model	mAP@0.50 (CV)	mAP@0.50 (CS)	Accuracy (Cross-Subject)	Paper	Code	Year
1	RF-Action	94.4	92.9	–	Making the Invisible Visible: Action Recognition Through Walls and Occlusions		2019
2	HCN	94.2	92.6	–	Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation	huguyuehuhu/HCN-pytorch · hikvision-research/skelact · fandulu/Keras-for-Co-occurrence-Feature-Learning-from-Skeleton-Data-for-Action-Recognition · +3	2018
3	Li et al. [[Li et al.2017b]]	93.7	90.4	–	Skeleton-based Action Recognition with Convolutional Neural Networks	hikvision-research/skelact	2017
4	3s-HYSP	–	–	96.2	HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations	paolomandica/hysp	2023
5	RF-Action	94.4	92.9	–	Making the Invisible Visible: Action Recognition Through Walls and Occlusions		2019
6	HCN	94.2	92.6	–	Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation	huguyuehuhu/HCN-pytorch · hikvision-research/skelact · fandulu/Keras-for-Co-occurrence-Feature-Learning-from-Skeleton-Data-for-Action-Recognition · +3	2018
7	Li et al. [[Li et al.2017b]]	93.7	90.4	–	Skeleton-based Action Recognition with Convolutional Neural Networks	hikvision-research/skelact	2017
8	3s-HYSP	–	–	96.2	HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations	paolomandica/hysp	2023
9	RF-Action	94.4	92.9	–	Making the Invisible Visible: Action Recognition Through Walls and Occlusions		2019
10	HCN	94.2	92.6	–	Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation	huguyuehuhu/HCN-pytorch · hikvision-research/skelact · fandulu/Keras-for-Co-occurrence-Feature-Learning-from-Skeleton-Data-for-Action-Recognition · +3	2018