Skeleton Based Action Recognition on PKU-MMD

34개 결과 · ⬇ CSV · JSON

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
11	Li et al. [[Li et al.2017b]]	93.7	90.4	–	Skeleton-based Action Recognition with Convolutional Neural Networks	hikvision-research/skelact	2017
12	3s-HYSP	–	–	96.2	HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations	paolomandica/hysp	2023
13	RF-Action	94.4	92.9	–	Making the Invisible Visible: Action Recognition Through Walls and Occlusions		2019
14	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
15	Li et al. [[Li et al.2017b]]	93.7	90.4	–	Skeleton-based Action Recognition with Convolutional Neural Networks	hikvision-research/skelact	2017
16	3s-HYSP	–	–	96.2	HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations	paolomandica/hysp	2023
17	RF-Action	94.4	92.9	–	Making the Invisible Visible: Action Recognition Through Walls and Occlusions		2019
18	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
19	Li et al. [[Li et al.2017b]]	93.7	90.4	–	Skeleton-based Action Recognition with Convolutional Neural Networks	hikvision-research/skelact	2017
20	3s-HYSP	–	–	96.2	HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations	paolomandica/hysp	2023
21	RF-Action	94.4	92.9	–	Making the Invisible Visible: Action Recognition Through Walls and Occlusions		2019
22	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
23	Li et al. [[Li et al.2017b]]	93.7	90.4	–	Skeleton-based Action Recognition with Convolutional Neural Networks	hikvision-research/skelact	2017
24	3s-HYSP	–	–	96.2	HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations	paolomandica/hysp	2023
25	RF-Action	94.4	92.9	–	Making the Invisible Visible: Action Recognition Through Walls and Occlusions		2019
26	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
27	Li et al. [[Li et al.2017b]]	93.7	90.4	–	Skeleton-based Action Recognition with Convolutional Neural Networks	hikvision-research/skelact	2017
28	3s-HYSP	–	–	96.2	HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations	paolomandica/hysp	2023
29	RF-Action	94.4	92.9	–	Making the Invisible Visible: Action Recognition Through Walls and Occlusions		2019
30	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
31	Li et al. [[Li et al.2017b]]	93.7	90.4	–	Skeleton-based Action Recognition with Convolutional Neural Networks	hikvision-research/skelact	2017
32	3s-HYSP	–	–	96.2	HYperbolic Self-Paced Learning for Self-Supervised Skeleton-based Action Representations	paolomandica/hysp	2023
33	Multi-view 자동 추출	–	–	89.1	M3GCLR: Multi-View Mini-Max Infinite Skeleton-Data Game Contrastive Learning For Skeleton-Based Action Recognition		2026
34	Dominance-Game 자동 추출	–	–	75.5	DoGCLR: Dominance-Game Contrastive Learning Network for Skeleton-Based Action Recognition		2025