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Skeleton Based Action Recognition 벤치마크

Skeleton Based Action Recognition on Florence 3D

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Accuracy

90.9 92.95 95 97.05 99.1 2014-06 2026-09 Lie Group — 90.9 (2014-06-23) Lie Group — 90.9 (2014-06-23) Lie Group — 90.9 (2014-06-23) Lie Group — 90.9 (2014-06-23) Lie Group — 90.9 (2014-06-23) Lie Group — 90.9 (2014-06-23) Lie Group — 90.9 (2014-06-23) Lie Group — 90.9 (2014-06-23) Rolling Rotations (FTP) — 91.4 (2016-06-27) Rolling Rotations (FTP) — 91.4 (2016-06-27) Rolling Rotations (FTP) — 91.4 (2016-06-27) Rolling Rotations (FTP) — 91.4 (2016-06-27) Rolling Rotations (FTP) — 91.4 (2016-06-27) Rolling Rotations (FTP) — 91.4 (2016-06-27) Rolling Rotations (FTP) — 91.4 (2016-06-27) Rolling Rotations (FTP) — 91.4 (2016-06-27) Deep STGC_K — 99.1 (2018-02-27) Deep STGC_K — 99.1 (2018-02-27) Deep STGC_K — 99.1 (2018-02-27) Deep STGC_K — 99.1 (2018-02-27) Deep STGC_K — 99.1 (2018-02-27) Deep STGC_K — 99.1 (2018-02-27) Deep STGC_K — 99.1 (2018-02-27) Deep STGC_K — 99.1 (2018-02-27) Complete GR-GCN — 98.4 (2018-11-29) Complete GR-GCN — 98.4 (2018-11-29) Complete GR-GCN — 98.4 (2018-11-29) Complete GR-GCN — 98.4 (2018-11-29) Complete GR-GCN — 98.4 (2018-11-29) Complete GR-GCN — 98.4 (2018-11-29) Complete GR-GCN — 98.4 (2018-11-29) Complete GR-GCN — 98.4 (2018-11-29) Temporal Spectral Clustering + Temporal Subspace Clustering — 95.81 (2020-06-21) Temporal Spectral Clustering + Temporal Subspace Clustering — 95.81 (2020-06-21) Temporal Spectral Clustering + Temporal Subspace Clustering — 95.81 (2020-06-21) Temporal Spectral Clustering + Temporal Subspace Clustering — 95.81 (2020-06-21) Temporal Spectral Clustering + Temporal Subspace Clustering — 95.81 (2020-06-21) Temporal Spectral Clustering + Temporal Subspace Clustering — 95.81 (2020-06-21) Temporal Spectral Clustering + Temporal Subspace Clustering — 95.81 (2020-06-21) Temporal Spectral Clustering + Temporal Subspace Clustering — 95.81 (2020-06-21) SCK⊕+DCK⊕ — 97.45 (2020-12-28) SCK+DCK — 95.23 (2020-12-28) SCK⊕+DCK⊕ — 97.45 (2020-12-28) SCK+DCK — 95.23 (2020-12-28) SCK⊕+DCK⊕ — 97.45 (2020-12-28) SCK+DCK — 95.23 (2020-12-28) SCK⊕+DCK⊕ — 97.45 (2020-12-28) SCK+DCK — 95.23 (2020-12-28) SCK⊕+DCK⊕ — 97.45 (2020-12-28) SCK+DCK — 95.23 (2020-12-28) SCK⊕+DCK⊕ — 97.45 (2020-12-28) SCK+DCK — 95.23 (2020-12-28) SCK⊕+DCK⊕ — 97.45 (2020-12-28) SCK+DCK — 95.23 (2020-12-28) SCK⊕+DCK⊕ — 97.45 (2020-12-28) SCK+DCK — 95.23 (2020-12-28) Lie Group — 90.9 (2014-06-23) Rolling Rotations (FTP) — 91.4 (2016-06-27) Deep STGC_K — 99.1 (2018-02-27)
RankModel Accuracy PaperCodeYear
1 Deep STGC_K 99.1% Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition 2018
2 Complete GR-GCN 98.4% Optimized Skeleton-based Action Recognition via Sparsified Graph Regression 2018
3 SCK⊕+DCK⊕ 97.45 Tensor Representations for Action Recognition ElricXin/Skeleton-MixFormer 2020
4 Temporal Spectral Clustering + Temporal Subspace Clustering 95.81% Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning IIT-PAVIS/subspace-clustering-action-recognition 2020
5 SCK+DCK 95.23 Tensor Representations for Action Recognition ElricXin/Skeleton-MixFormer 2020
6 Rolling Rotations (FTP) 91.40% Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data 2016
7 Lie Group 90.9% Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group fdsa1860/skeletal 2014
8 Deep STGC_K 99.1% Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition 2018
9 Complete GR-GCN 98.4% Optimized Skeleton-based Action Recognition via Sparsified Graph Regression 2018
10 SCK⊕+DCK⊕ 97.45 Tensor Representations for Action Recognition ElricXin/Skeleton-MixFormer 2020
11 Temporal Spectral Clustering + Temporal Subspace Clustering 95.81% Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning IIT-PAVIS/subspace-clustering-action-recognition 2020
12 SCK+DCK 95.23 Tensor Representations for Action Recognition ElricXin/Skeleton-MixFormer 2020
13 Rolling Rotations (FTP) 91.40% Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data 2016
14 Lie Group 90.9% Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group fdsa1860/skeletal 2014
15 Deep STGC_K 99.1% Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition 2018
16 Complete GR-GCN 98.4% Optimized Skeleton-based Action Recognition via Sparsified Graph Regression 2018
17 SCK⊕+DCK⊕ 97.45 Tensor Representations for Action Recognition ElricXin/Skeleton-MixFormer 2020
18 Temporal Spectral Clustering + Temporal Subspace Clustering 95.81% Subspace Clustering for Action Recognition with Covariance Representations and Temporal Pruning IIT-PAVIS/subspace-clustering-action-recognition 2020
19 SCK+DCK 95.23 Tensor Representations for Action Recognition ElricXin/Skeleton-MixFormer 2020
20 Rolling Rotations (FTP) 91.40% Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data 2016
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