Weakly Supervised 3D Human Pose Estimation On
评估指标
Average MPJPE (mm)
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | Average MPJPE (mm) |
|---|---|
| self-supervised-learning-of-3d-human-pose | 60.56 |
| adaptpose-cross-dataset-adaptation-for-3d | 42.5 |
| repnet-weakly-supervised-training-of-an | 89.9 |
| a-dual-augmentor-framework-for-domain | 50.3 |
| weakly-supervised-3d-human-pose-learning-via | 67.4 |
| self-supervised-3d-human-pose-estimation-via | 50.8 |
| self-supervised-learning-of-3d-human-pose | 76.6 |
| non-local-latent-relation-distillation-for-1 | 57.6 |
| self-supervised-learning-of-3d-human-pose | - |
| 3d-human-pose-estimation-in-video-with | - |
| texturepose-supervising-human-mesh-estimation-1 | 110.7 |
| self-supervised-3d-human-pose-estimation-with | 62.0 |
| self-supervised-learning-of-motion-capture | 98.4 |
| canonpose-self-supervised-monocular-3d-human | 74.3 |
| on-boosting-single-frame-3d-human-pose | 88.8 |
| unsupervised-3d-pose-estimation-for | 47.3 |
| uncertainty-aware-adaptation-for-self | 59.4 |
| self-supervised-learning-of-3d-human-pose | 65.35 |
| lifting-from-the-deep-convolutional-3d-pose | 88.4 |
| on-triangulation-as-a-form-of-self | 64.7 |
| a-dual-augmentor-framework-for-domain | 44.1 |
| end-to-end-recovery-of-human-shape-and-pose | - |
| 3d-human-pose-estimation-in-video-with | 64.7 |
| tripose-a-weakly-supervised-3d-human-pose | 62.9 |
| heuristic-weakly-supervised-3d-human-pose | 104.1 |
| metapose-fast-3d-pose-from-multiple-views | 56 |
| weakly-supervised-3d-human-pose-learning-via | 59.7 |
| unsupervised-geometry-aware-representation | 131.7 |
| distill-knowledge-from-nrsfm-for-weakly | 83.0 |
| poseaug-a-differentiable-pose-augmentation | 56.7 |
| harvesting-multiple-views-for-marker-less-3d | 118.4 |
| cascaded-deep-monocular-3d-human-pose-1 | 62.9 |
| poseaug-a-differentiable-pose-augmentation | - |