Human Pose Estimation on MPII
98.5Head AccuracyChu et al.
Evaluation results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Chu et al.Venue=CVPR'172017.07 | 98.5 | 96.3 | 91.9 | 88.1 | 90.6 | 88 | 85 | 91.5 | — | — | — | — | — | |
| ChuApproach type=Detection based2017.04 | 98.5 | 96.3 | 91.9 | 88.1 | 90.6 | 88 | 85 | 91.5 | — | — | — | — | — | |
| Newell et al.Venue=ECCV'162017.07 | 98.2 | 96.3 | 91.2 | 87.1 | 90.1 | 87.4 | 83.6 | 90.9 | — | — | — | — | — | |
| Self Adversarial Training2017.07 | 98.2 | 96.8 | 92.2 | 88 | 91.3 | 89.1 | 84.9 | 91.8 | — | — | — | — | — | |
| NewellApproach type=Detection based2017.04 | 98.2 | 96.3 | 91.2 | 87.1 | 90.1 | 87.4 | 83.6 | 90 | — | — | — | — | — | |
| Bulat et al.Venue=ECCV'162017.07 | 97.9 | 95.1 | 89.9 | 85.3 | 89.4 | 85.7 | 81.7 | 89.7 | — | — | — | — | — | |
| BulatApproach type=Detection based2017.04 | 97.9 | 95.1 | 89.9 | 85.3 | 89.4 | 85.7 | 81.7 | 89.7 | — | — | — | — | — | |
| Lifshitz et al.Venue=ECCV'162017.07 | 97.8 | 93.3 | 85.7 | 80.4 | 85.3 | 76.6 | 70.2 | 85 | — | — | — | — | — | |
| Wei et al.Venue=CVPR'162017.07 | 97.8 | 95 | 88.7 | 84 | 88.4 | 82.8 | 79.4 | 88.5 | — | — | — | — | — | |
| LifshitzApproach type=Detection based2017.04 | 97.8 | 93.3 | 85.7 | 80.4 | 85.3 | 76.6 | 70.2 | 85 | — | — | — | — | — | |
| WeiApproach type=Detection based2017.04 | 97.8 | 95 | 88.7 | 84 | 88.4 | 82.8 | 79.4 | 88.5 | — | — | — | — | — | |
| Belagiannis et al.Venue=FG'172017.07 | 97.7 | 95 | 88.2 | 83 | 87.9 | 82.6 | 78.4 | 88.1 | — | — | — | — | — | |
| Compositional Human Pose RegressionApproach type=Regression based, variant=all2017.04 | 97.5 | 94.3 | 87 | 81.2 | 86.5 | 78.5 | 75.4 | 86.4 | — | — | — | — | — | |
| Rafi et al.Venue=BMVC'162017.07 | 97.2 | 93.9 | 86.4 | 81.3 | 86.8 | 80.6 | 73.4 | 86.3 | — | — | — | — | — | |
| RafiApproach type=Detection based2017.04 | 97.2 | 93.9 | 86.4 | 81.3 | 86.8 | 80.6 | 73.4 | 86.3 | — | — | — | — | — | |
| Insafutdinov et al.Venue=ECCV'162017.07 | 96.8 | 95.2 | 89.3 | 84.4 | 88.4 | 83.4 | 78 | 88.5 | — | — | — | — | — | |
| InsafutdinovApproach type=Detection based2017.04 | 96.8 | 95.2 | 89.3 | 84.4 | 88.4 | 83.4 | 78 | 88.5 | — | — | — | — | — | |
| IEF*Approach type=Regression based2017.04 | 96.3 | 92.6 | 83.1 | 74.6 | 83.7 | 74.1 | 71.4 | 82.9 | — | — | — | — | — | |
| Gkioxary et al.Venue=ECCV'162017.07 | 96.2 | 93.1 | 86.7 | 82.1 | 85.2 | 81.4 | 74.1 | 86.1 | — | — | — | — | — | |
| GkioxariApproach type=Detection based2017.04 | 96.2 | 93.1 | 86.7 | 82.1 | 85.2 | 81.4 | 74.1 | 86.1 | — | — | — | — | — | |
| Tompson et al.Venue=CVPR'152017.07 | 96.1 | 91.9 | 83.9 | 77.8 | 80.9 | 72.3 | 64.8 | 82 | — | — | — | — | — | |
| TompsonApproach type=Detection based, citation=[45]2017.04 | 96.1 | 91.9 | 83.9 | 77.8 | 80.9 | 72.3 | 64.8 | 82 | — | — | — | — | — | |
| Tompson et al.Venue=NIPS'142017.07 | 95.8 | 90.3 | 80.5 | 74.3 | 77.6 | 69.7 | 62.8 | 79.6 | — | — | — | — | — | |
| TompsonApproach type=Detection based, citation=[46]2017.04 | 95.8 | 90.3 | 80.5 | 74.3 | 77.6 | 69.7 | 62.8 | 79.6 | — | — | — | — | — | |
| Carreira et al.Venue=CVPR'162017.07 | 95.7 | 91.7 | 81.7 | 72.4 | 82.8 | 73.2 | 66.4 | 81.3 | — | — | — | — | — | |
| Carreira (IEF)Approach type=Regression based2017.04 | 95.7 | 91.7 | 81.7 | 72.4 | 82.8 | 73.2 | 66.4 | 81.3 | — | — | — | — | — | |
| Hu et al.Venue=CVPR'162017.07 | 95 | 91.6 | 83 | 76.6 | 81.9 | 74.5 | 69.5 | 82.4 | — | — | — | — | — | |
| HuApproach type=Detection based2017.04 | 95 | 91.6 | 83 | 76.6 | 81.9 | 74.5 | 69.5 | 82.4 | — | — | — | — | — | |
| Pishchulin et al.Venue=CVPR'162017.07 | 94.1 | 90.2 | 83.4 | 77.3 | 82.6 | 75.7 | 68.6 | 82.4 | — | — | — | — | — | |
| PishchulinApproach type=Detection based, citation=[38]2017.04 | 94.1 | 90.2 | 83.4 | 77.3 | 82.6 | 75.7 | 68.6 | 82.4 | — | — | — | — | — | |
| Pishchulin et al.Venue=ICCV'132017.07 | 74.3 | 49 | 40.8 | 34.1 | 36.5 | 34.4 | 35.2 | 44.1 | — | — | — | — | — | |
| PishchulinApproach type=Detection based2017.04 | 74.3 | 49 | 40.8 | 34.1 | 36.5 | 34.4 | 35.2 | 44.1 | — | — | — | — | — | |
| [17]Parameters=rank-(128, 128, 2, 2)2019.04 | — | — | — | — | — | — | — | — | 84.9 | 1.4 | — | — | — | |
| [17]Parameters=rank-(96, 96, 3, 3)2019.04 | — | — | — | — | — | — | — | — | 86.8 | 1.3 | — | — | — | |
| [17]Parameters=rank-(64, 64, 3, 3)2019.04 | — | — | — | — | — | — | — | — | 86.4 | 2.3 | — | — | — | |
| [17]Parameters=rank-(32, 32, 3, 3)2019.04 | — | — | — | — | — | — | — | — | 85.3 | 4.7 | — | — | — | |
| [17]Parameters=rank-(16, 16, 3, 3)2019.04 | — | — | — | — | — | — | — | — | 83.7 | 6.9 | — | — | — | |
| Classic Specialist (Non-VLM)Model Category=Classic Specialist, Task-specific fine-tuning=true2026.01 | — | — | — | — | — | — | — | — | — | — | — | — | 93.3 | |
| Classic Specialist (VLM)Model Category=Classic Specialist, Task-specific fine-tuning=true2026.01 | — | — | — | — | — | — | — | — | — | — | — | — | 89.3 | |
| CLIPBackbone=ViT-B2023.03 | — | — | — | — | — | — | — | — | — | — | — | 88.1 | — | |
| MAEBackbone=ViT-B2023.03 | — | — | — | — | — | — | — | — | — | — | — | 90.1 | — | |
| MobileNetParameters=fin=fout=1942019.04 | — | — | — | — | — | — | — | — | 84.3 | 3.6 | — | — | — | |
| MobileNetParameters=fin=fout=1602019.04 | — | — | — | — | — | — | — | — | 82.7 | 5.4 | — | — | — | |
| MPS T-NetParameters=rank-(1, 4, 4, 12, 24, 110, 9, 3, 1)2019.04 | — | — | — | — | — | — | — | — | 85.5 | 7.4 | — | — | — | |
| PATHBackbone=ViT-B, Evaluation Protocol=FT2023.03 | — | — | — | — | — | — | — | — | — | — | — | 93.3 | — | |
| PATHBackbone=ViT-B, Evaluation Protocol=Head FT2023.03 | — | — | — | — | — | — | — | — | — | — | — | 92.7 | — | |
| PATHBackbone=ViT-B, Evaluation Protocol=Partial FT2023.03 | — | — | — | — | — | — | — | — | — | — | — | 93 | — | |
| PATHBackbone=ViT-L, Evaluation Protocol=Partial FT2023.03 | — | — | — | — | — | — | — | — | — | — | — | 93.7 | — | |
| Pishchulin et al. (2016)Category=Bottom-up, Backbone=VGG, Decoder=-, Extra Data=false, Post-processing=offset regression2020.02 | — | — | — | — | — | — | — | — | — | — | 82.4 | — | — | |
| SoTA2023.03 | — | — | — | — | — | — | — | — | — | — | — | 92.3 | — | |
| SoTA †Note=multitask or stronger models2023.03 | — | — | — | — | — | — | — | — | — | — | — | 93.3 | — | |
| Trimmed BaselineParameters=fin=fout=1122019.04 | — | — | — | — | — | — | — | — | 86.9 | 1.3 | — | — | — | |
| Trimmed BaselineParameters=fin=fout=922019.04 | — | — | — | — | — | — | — | — | 85.9 | 2 | — | — | — | |
| Trimmed BaselineParameters=fin=fout=642019.04 | — | — | — | — | — | — | — | — | 84.5 | 4 | — | — | — | |
| Trimmed BaselineParameters=hg_depth=32019.04 | — | — | — | — | — | — | — | — | 86.79 | 1.3 | — | — | — | |
| Trimmed BaselineParameters=hg_depth=22019.04 | — | — | — | — | — | — | — | — | 86.82 | 1.8 | — | — | — | |
| Trimmed BaselineParameters=hg_depth=12019.04 | — | — | — | — | — | — | — | — | 85.3 | 3 | — | — | — | |
| Tucker T-NetParameters=rank-(4, 3, 3, 2, 110, 110, 3, 3)2019.04 | — | — | — | — | — | — | — | — | 87.5 | 1.7 | — | — | — | |
| Tucker T-NetParameters=rank-(4, 4, 2, 2, 110, 110, 3, 3)2019.04 | — | — | — | — | — | — | — | — | 87.4 | 1.8 | — | — | — | |
| Tucker T-NetParameters=rank-(3, 3, 3, 2, 110, 110, 2, 2)2019.04 | — | — | — | — | — | — | — | — | 87.1 | 3.7 | — | — | — | |
| Tucker T-NetParameters=rank-(3, 2, 3, 2, 96, 96, 3, 3)2019.04 | — | — | — | — | — | — | — | — | 86.7 | 3.4 | — | — | — | |
| Tucker T-NetParameters=rank-(3, 3, 2, 2, 80, 80, 3, 3)2019.04 | — | — | — | — | — | — | — | — | 86.3 | 4.2 | — | — | — | |
| Tucker T-NetParameters=rank-(2, 2, 2, 2, 96, 96, 3, 3)2019.04 | — | — | — | — | — | — | — | — | 86 | 5.2 | — | — | — | |
| Uncompressed BaselineParameters=full, fin=fout=1282019.04 | — | — | — | — | — | — | — | — | 87 | 1 | — | — | — | |
| Youtu-VLModel Category=General-Purpose VLM, Model Parameters=4B, Instruct Version=true2026.01 | — | — | — | — | — | — | — | — | — | — | — | — | 89.1 |