task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | metric_value stringlengths 1 9.22k ⌀ |
|---|---|---|---|---|---|
Video > Temporal Action Localization > 3D Action Recognition | 100 sleep nights of 8 caregivers | htf | https://arxiv.org/abs/2001.01215v2 | 10% | 4 |
Video > Temporal Action Localization > 3D Action Recognition | Assembly101 | HandFormer-B/21 | https://arxiv.org/abs/2403.09805v2 | Actions Top-1 | 41.06 |
Video > Temporal Action Localization > 3D Action Recognition | Assembly101 | HandFormer-B/21 | https://arxiv.org/abs/2403.09805v2 | Verbs Top-1 | 69.23 |
Video > Temporal Action Localization > 3D Action Recognition | Assembly101 | HandFormer-B/21 | https://arxiv.org/abs/2403.09805v2 | Object Top-1 | 51.17 |
Video > Temporal Action Localization > 3D Action Recognition | Assembly101 | TSM | https://arxiv.org/abs/1811.08383v3 | Actions Top-1 | 35.27 |
Video > Temporal Action Localization > 3D Action Recognition | Assembly101 | TSM | https://arxiv.org/abs/1811.08383v3 | Verbs Top-1 | 58.27 |
Video > Temporal Action Localization > 3D Action Recognition | Assembly101 | TSM | https://arxiv.org/abs/1811.08383v3 | Object Top-1 | 47.45 |
Video > Temporal Action Localization > 3D Action Recognition | Assembly101 | RGBPoseConv3D | https://arxiv.org/abs/2104.13586v2 | Actions Top-1 | 33.61 |
Video > Temporal Action Localization > 3D Action Recognition | Assembly101 | RGBPoseConv3D | https://arxiv.org/abs/2104.13586v2 | Verbs Top-1 | 61.99 |
Video > Temporal Action Localization > 3D Action Recognition | Assembly101 | RGBPoseConv3D | https://arxiv.org/abs/2104.13586v2 | Object Top-1 | 42.90 |
Video > Temporal Action Localization > 3D Action Recognition | Assembly101 | MS-G3D | https://arxiv.org/abs/2003.14111v2 | Actions Top-1 | 28.7 |
Video > Temporal Action Localization > 3D Action Recognition | Assembly101 | MS-G3D | https://arxiv.org/abs/2003.14111v2 | Verbs Top-1 | 65.7 |
Video > Temporal Action Localization > 3D Action Recognition | Assembly101 | MS-G3D | https://arxiv.org/abs/2003.14111v2 | Object Top-1 | 36.3 |
Video > Temporal Action Localization > 3D Action Recognition | Assembly101 | ISTA-Net | https://arxiv.org/abs/2307.07469v1 | Actions Top-1 | 28.07 |
Video > Temporal Action Localization > 3D Action Recognition | Assembly101 | ISTA-Net | https://arxiv.org/abs/2307.07469v1 | Verbs Top-1 | 62.66 |
Video > Temporal Action Localization > 3D Action Recognition | Assembly101 | ISTA-Net | https://arxiv.org/abs/2307.07469v1 | Object Top-1 | 31.69 |
Video > Temporal Action Localization > 3D Action Recognition | Assembly101 | CHASE(CTR-GCN) | https://arxiv.org/abs/2410.07153v2 | Actions Top-1 | 28.03 |
Video > Temporal Action Localization > 3D Action Recognition | Assembly101 | 2s-AGCN | https://arxiv.org/abs/1805.07694v3 | Actions Top-1 | 26.7 |
Video > Temporal Action Localization > 3D Action Recognition | Assembly101 | 2s-AGCN | https://arxiv.org/abs/1805.07694v3 | Verbs Top-1 | 64.4 |
Video > Temporal Action Localization > 3D Action Recognition | Assembly101 | 2s-AGCN | https://arxiv.org/abs/1805.07694v3 | Object Top-1 | 33.8 |
Video > Temporal Action Localization > 3D Action Recognition | NTU RGB+D | Kinet | https://arxiv.org/abs/2203.11113v2 | Cross Subject Accuracy | 92.3 |
Video > Temporal Action Localization > 3D Action Recognition | NTU RGB+D | Kinet | https://arxiv.org/abs/2203.11113v2 | Cross View Accuracy | 96.4 |
Video > Temporal Action Localization > 3D Action Recognition | NTU RGB+D | PSTNet++ | https://ieeexplore.ieee.org/document/9650574 | Cross Subject Accuracy | 91.4 |
Video > Temporal Action Localization > 3D Action Recognition | NTU RGB+D | PSTNet++ | https://ieeexplore.ieee.org/document/9650574 | Cross View Accuracy | 96.7 |
Video > Temporal Action Localization > 3D Action Recognition | NTU RGB+D | PSTNet | https://arxiv.org/abs/2205.13713v1 | Cross Subject Accuracy | 90.5 |
Video > Temporal Action Localization > 3D Action Recognition | NTU RGB+D | PSTNet | https://arxiv.org/abs/2205.13713v1 | Cross View Accuracy | 96.5 |
Video > Temporal Action Localization > 3D Action Recognition | NTU RGB+D | P4Transformer | http://openaccess.thecvf.com//content/CVPR2021/html/Fan_Point_4D_Transformer_Networks_for_Spatio-Temporal_Modeling_in_Point_Cloud_CVPR_2021_paper.html | Cross Subject Accuracy | 90.2 |
Video > Temporal Action Localization > 3D Action Recognition | NTU RGB+D | P4Transformer | http://openaccess.thecvf.com//content/CVPR2021/html/Fan_Point_4D_Transformer_Networks_for_Spatio-Temporal_Modeling_in_Point_Cloud_CVPR_2021_paper.html | Cross View Accuracy | 96.4 |
Video > Temporal Action Localization > 3D Action Recognition | NTU RGB+D | 3DV-PointNet++ | https://arxiv.org/abs/2112.00202v1 | Cross Subject Accuracy | 88.8 |
Video > Temporal Action Localization > 3D Action Recognition | NTU RGB+D | 3DV-PointNet++ | https://arxiv.org/abs/2112.00202v1 | Cross View Accuracy | 96.3 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | JHMDB Pose Tracking | mgPFF+ft 1st | http://arxiv.org/abs/1904.01693v1 | PCK@0.1 | 58.4 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | JHMDB Pose Tracking | mgPFF+ft 1st | http://arxiv.org/abs/1904.01693v1 | PCK@0.2 | 78.1 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | JHMDB Pose Tracking | mgPFF+ft 1st | http://arxiv.org/abs/1904.01693v1 | PCK@0.3 | 85.9 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | JHMDB Pose Tracking | mgPFF+ft 1st | http://arxiv.org/abs/1904.01693v1 | PCK@0.4 | 89.8 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | JHMDB Pose Tracking | mgPFF+ft 1st | http://arxiv.org/abs/1904.01693v1 | PCK@0.5 | 92.4 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | JHMDB Pose Tracking | ColorPointer | http://arxiv.org/abs/1806.09594v2 | PCK@0.1 | 45.2 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | JHMDB Pose Tracking | ColorPointer | http://arxiv.org/abs/1806.09594v2 | PCK@0.2 | 69.6 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | JHMDB Pose Tracking | ColorPointer | http://arxiv.org/abs/1806.09594v2 | PCK@0.3 | 80.8 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | JHMDB Pose Tracking | ColorPointer | http://arxiv.org/abs/1806.09594v2 | PCK@0.4 | 87.5 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | JHMDB Pose Tracking | ColorPointer | http://arxiv.org/abs/1806.09594v2 | PCK@0.5 | 91.4 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | JHMDB Pose Tracking | FlowNet2 | http://arxiv.org/abs/1612.01925v1 | PCK@0.1 | 45.2 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | JHMDB Pose Tracking | FlowNet2 | http://arxiv.org/abs/1612.01925v1 | PCK@0.2 | 62.9 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | JHMDB Pose Tracking | FlowNet2 | http://arxiv.org/abs/1612.01925v1 | PCK@0.3 | 73.5 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | JHMDB Pose Tracking | FlowNet2 | http://arxiv.org/abs/1612.01925v1 | PCK@0.4 | 80.6 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | JHMDB Pose Tracking | FlowNet2 | http://arxiv.org/abs/1612.01925v1 | PCK@0.5 | 85.5 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | MSR ActionPairs | Temporal Subspace Clustering | https://arxiv.org/abs/2006.11812v1 | Accuracy | 98.02% |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | MSRC-12 | Temporal Subspace Clustering | https://arxiv.org/abs/2006.11812v1 | Accuracy | 99.08% |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | MSRC-12 | Distribution of Action Movements + SVM | https://arxiv.org/abs/2310.17421v1 | Accuracy | 91.7% |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | Florence 3D | Deep STGC_K | http://arxiv.org/abs/1802.09834v1 | Accuracy | 99.1% |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | Florence 3D | Complete GR-GCN | http://arxiv.org/abs/1811.12013v2 | Accuracy | 98.4% |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | Florence 3D | SCK⊕+DCK⊕ | https://arxiv.org/abs/2012.14371v3 | Accuracy | 97.45 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | Florence 3D | Temporal Spectral Clustering + Temporal Subspace Clustering | https://arxiv.org/abs/2006.11812v1 | Accuracy | 95.81% |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | Florence 3D | SCK+DCK | https://arxiv.org/abs/2012.14371v3 | Accuracy | 95.23 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | Florence 3D | Rolling Rotations (FTP) | https://doi.org/10.1109/CVPR.2016.484 | Accuracy | 91.40% |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | Florence 3D | Lie Group | https://doi.org/10.1109/CVPR.2014.82 | Accuracy | 90.9% |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU60-X | 4s-ShiftGCN | https://arxiv.org/abs/2101.11529v4 | Accuracy (Body + Fingers joints) | 91.78 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU60-X | 4s-ShiftGCN | https://arxiv.org/abs/2101.11529v4 | Accuracy (Body joints) | 89.56 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU60-X | 4s-ShiftGCN | https://arxiv.org/abs/2101.11529v4 | Accuracy (Body + Fingers + Face joints) | 89.64 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU60-X | MS-G3D | https://arxiv.org/abs/2101.11529v4 | Accuracy (Body + Fingers joints) | 91.76 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU60-X | MS-G3D | https://arxiv.org/abs/2101.11529v4 | Accuracy (Body joints) | 91.26 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU60-X | MS-G3D | https://arxiv.org/abs/2101.11529v4 | Accuracy (Body + Fingers + Face joints) | 91.12 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU60-X | PA-ResGCN | https://arxiv.org/abs/2101.11529v4 | Accuracy (Body + Fingers joints) | 91.64 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU60-X | PA-ResGCN | https://arxiv.org/abs/2101.11529v4 | Accuracy (Body joints) | 89.98 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU60-X | PA-ResGCN | https://arxiv.org/abs/2101.11529v4 | Accuracy (Body + Fingers + Face joints) | 89.79 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | SBU / SBU-Refine | Joint Line Distance | https://doi.org/10.1109/WACV.2017.24 | Accuracy | 99.02% |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | SBU / SBU-Refine | MLGCN | https://bmvc2019.org/wp-content/uploads/papers/1103-paper.pdf | Accuracy | 98.60% |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | SBU / SBU-Refine | VA-fusion (aug.) | https://arxiv.org/abs/1804.07453v3 | Accuracy | 98.3% |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | SBU / SBU-Refine | ChebyNet | http://arxiv.org/abs/1606.09375v3 | Accuracy | 96.00% |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | SBU / SBU-Refine | ArmaConv | https://arxiv.org/abs/1901.01343v7 | Accuracy | 96.00% |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | SBU / SBU-Refine | DeepGRU | https://arxiv.org/abs/1810.12514v4 | Accuracy | 95.7% |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | SBU / SBU-Refine | SGCConv | https://arxiv.org/abs/1902.07153v2 | Accuracy | 94.0% |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | SBU / SBU-Refine | e2eET | https://arxiv.org/abs/2406.15003v2 | Accuracy | 93.96 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | SBU / SBU-Refine | ST-LSTM + Trust Gate | http://arxiv.org/abs/1607.07043v1 | Accuracy | 93.3% |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | Skeletics-152 | 4s-ShiftGCN | https://arxiv.org/abs/2007.02072v2 | Accuracy (Cross-Subject) | 57.01 % |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | Skeleton-Mimetics | MS-G3D | https://arxiv.org/abs/2007.02072v2 | Accuracy (%) | 57.37 % |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | First-Person Hand Action Benchmark | TCN-Summ | https://arxiv.org/abs/2103.02303v3 | 1:3 Accuracy | 92.9 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | First-Person Hand Action Benchmark | TCN-Summ | https://arxiv.org/abs/2103.02303v3 | 1:1 Accuracy | 95.93 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | First-Person Hand Action Benchmark | TCN-Summ | https://arxiv.org/abs/2103.02303v3 | 3:1 Accuracy | 96.76 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | First-Person Hand Action Benchmark | TCN-Summ | https://arxiv.org/abs/2103.02303v3 | Cross-person Accuracy | 88.70 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | First-Person Hand Action Benchmark | Boutaleb et al. | https://www.scitepress.org/Link.aspx?doi=10.5220/0010232702930302 | 1:1 Accuracy | 96.17 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | First-Person Hand Action Benchmark | EffHandEgoNet | https://arxiv.org/abs/2404.09308v2 | 1:1 Accuracy | 94.43 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | First-Person Hand Action Benchmark | e2eET | https://arxiv.org/abs/2406.15003v2 | 1:1 Accuracy | 91.83 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | UPenn Action | UNIK | https://arxiv.org/abs/2107.08580v1 | Accuracy | 97.9 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | UPenn Action | Pr-VIPE | https://arxiv.org/abs/1912.01001v4 | Accuracy | 97.5 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | UPenn Action | HDM-BG | http://openaccess.thecvf.com/content_CVPR_2019/html/Zhao_Bayesian_Hierarchical_Dynamic_Model_for_Human_Action_Recognition_CVPR_2019_paper.html | Accuracy | 93.4 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU RGB+D 120 | ProtoGCN | https://arxiv.org/abs/2411.18941v1 | Accuracy (Cross-Subject) | 90.9 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU RGB+D 120 | ProtoGCN | https://arxiv.org/abs/2411.18941v1 | Accuracy (Cross-Setup) | 92.2 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU RGB+D 120 | ProtoGCN | https://arxiv.org/abs/2411.18941v1 | Ensembled Modalities | 6 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU RGB+D 120 | JMDA (based on Skeleton MixFormer) | https://doi.org/10.1145/3700878 | Accuracy (Cross-Subject) | 90.9 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU RGB+D 120 | JMDA (based on Skeleton MixFormer) | https://doi.org/10.1145/3700878 | Accuracy (Cross-Setup) | 91.9 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU RGB+D 120 | LA-GCN | https://arxiv.org/abs/2305.12398v1 | Accuracy (Cross-Subject) | 90.7 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU RGB+D 120 | LA-GCN | https://arxiv.org/abs/2305.12398v1 | Accuracy (Cross-Setup) | 91.8 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU RGB+D 120 | LA-GCN | https://arxiv.org/abs/2305.12398v1 | Ensembled Modalities | 6 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU RGB+D 120 | MSA-GCN | https://ieeexplore.ieee.org/document/10807218 | Accuracy (Cross-Subject) | 90.6 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU RGB+D 120 | MSA-GCN | https://ieeexplore.ieee.org/document/10807218 | Accuracy (Cross-Setup) | 92.2 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU RGB+D 120 | MSA-GCN | https://ieeexplore.ieee.org/document/10807218 | Ensembled Modalities | 6 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU RGB+D 120 | Shap-Mix | https://arxiv.org/abs/2407.12312v1 | Accuracy (Cross-Subject) | 90.4 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU RGB+D 120 | Shap-Mix | https://arxiv.org/abs/2407.12312v1 | Accuracy (Cross-Setup) | 91.7 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU RGB+D 120 | Shap-Mix | https://arxiv.org/abs/2407.12312v1 | Ensembled Modalities | 4 |
Video > Temporal Action Localization > 3D Action Recognition > Skeleton Based Action Recognition | NTU RGB+D 120 | MMCL | https://arxiv.org/abs/2407.15706v6 | Accuracy (Cross-Subject) | 90.3 |
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