HyperAI

Head Pose Estimation On Biwi

المقاييس

MAE (trained with BIWI data)
MAE (trained with other data)

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج
MAE (trained with BIWI data)
MAE (trained with other data)
Paper TitleRepository
DDD-Pose2.804.52A Data-Driven Approach to Improve 3D Head-Pose Estimation-
6DRepNet360-3.39Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation
hopenet-4.89Fine-Grained Head Pose Estimation Without Keypoints
EHPNet3.43-An Effective Deep Network for Head Pose Estimation without Keypoints-
6DRepNet2.663.476D Rotation Representation For Unconstrained Head Pose Estimation
Direct Regression2.54-Deep Ordinal Regression with Label Diversity
Hybrid Coarse-Fine3.0174-Hybrid coarse-fine classification for head pose estimation
WHENet-3.81WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose
MNN-3.66Multi-task head pose estimation in-the-wild
LSR-3.5192D Image head pose estimation via latent space regression under occlusion settings
DAD-3DNet3.98-DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image
3DDFA-19.068Face Alignment Across Large Poses: A 3D Solution-
KEPLER-13.852KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors-
TRG (w/ 300WLP)-2.756DoF Head Pose Estimation through Explicit Bidirectional Interaction with Face Geometry
FSA-Net (Caps-Fusion)-4.00FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image
img2pose-3.786img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation
WHENet-V-3.48WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose
SRHP-Euler-4.13On the representation and methodology for wide and short range head pose estimation
FAN (12 points)-7.882How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
PADACO-4.13Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces-
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