Head Pose Estimation On Biwi
Métriques
MAE (trained with BIWI data)
MAE (trained with other data)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
Nom du modèle | MAE (trained with BIWI data) | MAE (trained with other data) |
---|---|---|
a-data-driven-approach-to-improve-3d-head | 2.80 | 4.52 |
towards-robust-and-unconstrained-full-range | - | 3.39 |
fine-grained-head-pose-estimation-without | - | 4.89 |
an-effective-deep-network-for-head-pose | 3.43 | - |
6d-rotation-representation-for-unconstrained | 2.66 | 3.47 |
deep-ordinal-regression-with-label-diversity | 2.54 | - |
hybrid-coarse-fine-classification-for-head | 3.0174 | - |
whenet-real-time-fine-grained-estimation-for | - | 3.81 |
multi-task-head-pose-estimation-in-the-wild-1 | - | 3.66 |
2d-image-head-pose-estimation-via-latent | - | 3.519 |
dad-3dheads-a-large-scale-dense-accurate-and | 3.98 | - |
face-alignment-across-large-poses-a-3d | - | 19.068 |
kepler-keypoint-and-pose-estimation-of | - | 13.852 |
6dof-head-pose-estimation-through-explicit | - | 2.75 |
fsa-net-learning-fine-grained-structure | - | 4.00 |
img2pose-face-alignment-and-detection-via | - | 3.786 |
whenet-real-time-fine-grained-estimation-for | - | 3.48 |
on-the-representation-and-methodology-for-1 | - | 4.13 |
how-far-are-we-from-solving-the-2d-3d-face | - | 7.882 |
deep-head-pose-estimation-using-synthetic | - | 4.13 |
towards-robust-and-unconstrained-full-range | - | - |
single-image-3d-face-reconstruction-under | - | 2.95 |
dynamic-facial-analysis-from-bayesian | 1.413 | - |
on-the-power-of-data-augmentation-for-head | - | 3.57 |
6dof-head-pose-estimation-through-explicit | - | 2.89 |
on-the-representation-and-methodology-for-1 | - | 3.98 |
an-intuitive-and-unconstrained-2d-cube | 4.31 | - |
fine-grained-head-pose-estimation-without | 4.895 | - |
img2pose-face-alignment-and-detection-via | - | 4.578 |