Head Pose Estimation On Biwi

평가 지표

MAE (trained with BIWI data)

MAE (trained with other data)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	MAE (trained with BIWI data)	MAE (trained with other data)	Paper Title	Repository
DDD-Pose	2.80	4.52	A Data-Driven Approach to Improve 3D Head-Pose Estimation	-
6DRepNet360	-	3.39	Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation
hopenet	-	4.89	Fine-Grained Head Pose Estimation Without Keypoints
EHPNet	3.43	-	An Effective Deep Network for Head Pose Estimation without Keypoints	-
6DRepNet	2.66	3.47	6D Rotation Representation For Unconstrained Head Pose Estimation
Direct Regression	2.54	-	Deep Ordinal Regression with Label Diversity
Hybrid Coarse-Fine	3.0174	-	Hybrid coarse-fine classification for head pose estimation
WHENet	-	3.81	WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose
MNN	-	3.66	Multi-task head pose estimation in-the-wild
LSR	-	3.519	2D Image head pose estimation via latent space regression under occlusion settings
DAD-3DNet	3.98	-	DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image
3DDFA	-	19.068	Face Alignment Across Large Poses: A 3D Solution	-
KEPLER	-	13.852	KEPLER: Keypoint and Pose Estimation of Unconstrained Faces by Learning Efficient H-CNN Regressors	-
TRG (w/ 300WLP)	-	2.75	6DoF Head Pose Estimation through Explicit Bidirectional Interaction with Face Geometry
FSA-Net (Caps-Fusion)	-	4.00	FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image
img2pose	-	3.786	img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation
WHENet-V	-	3.48	WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose
SRHP-Euler	-	4.13	On the representation and methodology for wide and short range head pose estimation
FAN (12 points)	-	7.882	How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)
PADACO	-	4.13	Deep Head Pose Estimation Using Synthetic Images and Partial Adversarial Domain Adaption for Continuous Label Spaces	-

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