Head Pose Estimation On Aflw2000
평가 지표
MAE
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | MAE |
|---|---|
| whenet-real-time-fine-grained-estimation-for | 4.83 |
| an-intuitive-and-unconstrained-2d-cube | 5.352 |
| fine-grained-head-pose-estimation-without | 6.15 |
| sadrnet-self-aligned-dual-face-regression | 3.82 |
| 2d-image-head-pose-estimation-via-latent | 4.412 |
| hybrid-coarse-fine-classification-for-head | 5.395 |
| how-far-are-we-from-solving-the-2d-3d-face | 9.116 |
| dad-3dheads-a-large-scale-dense-accurate-and | 3.66 |
| 6d-rotation-representation-for-unconstrained | 3.97 |
| on-the-representation-and-methodology-for-1 | 3.49 |
| img2pose-face-alignment-and-detection-via | 4.839 |
| face-alignment-across-large-poses-a-3d | 7.393 |
| fsa-net-learning-fine-grained-structure | 5.07 |
| an-effective-deep-network-for-head-pose | 4.15 |
| on-the-representation-and-methodology-for-1 | 3.25 |
| fine-grained-head-pose-estimation-without | 6.155 |
| img2pose-face-alignment-and-detection-via | 3.913 |
| towards-robust-and-unconstrained-full-range | - |
| a-data-driven-approach-to-improve-3d-head | 4.22 |
| on-the-power-of-data-augmentation-for-head | 3.15 |
| towards-robust-and-unconstrained-full-range | 3.61 |
| whenet-real-time-fine-grained-estimation-for | 5.42 |
| dsfnet-dual-space-fusion-network-for-1 | 3.25 |
| multi-task-head-pose-estimation-in-the-wild-1 | 3.83 |
| synergy-between-3dmm-and-3d-landmarks-for | 3.35 |