Head Pose Estimation on AFLW 3D 2000 (test)
2.65MAE (Yaw)DSFNet
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| DSFNetRepresentation=Rot. matrix2024.01 | 2.65 | 4.28 | 2.82 | 3.25 | — | — | |
| DSFNet2024.07 | 2.65 | 4.28 | 2.82 | 3.25 | — | — | |
| OpalRepresentation=Euler, Alignment=aligned2024.01 | 2.75 | 4.23 | 2.76 | 3.25 | 5.28 | — | |
| OpalRepresentation=Euler, Alignment=unaligned2024.01 | 2.76 | 4.25 | 2.76 | 3.26 | 5.29 | — | |
| SRHP2024.07 | 2.76 | 4.25 | 2.76 | 3.26 | 5.29 | — | |
| OpNet BL + FSAugmentation=Face Synthetics2024.07 | 2.79 | 4.18 | 2.49 | 3.15 | 5.23 | — | |
| OpNet BLtype=Baseline2024.07 | 2.8 | 4.22 | 2.54 | 3.19 | 5.26 | — | |
| OpalRepresentation=6D, Alignment=aligned2024.01 | 2.83 | 4.55 | 3.04 | 3.47 | 5.34 | — | |
| OpalRepresentation=6D, Alignment=unaligned2024.01 | 2.85 | 4.59 | 3.04 | 3.49 | 5.37 | — | |
| VGGHeadsEnd to End=true, 3DMM=true2024.07 | 3 | 4.91 | 3.37 | 3.76 | — | — | |
| DAD-3DNetRepresentation=6D2024.01 | 3.08 | 4.76 | 3.15 | 3.66 | — | — | |
| DAD-3DHeads2024.07 | 3.08 | 4.76 | 3.15 | 3.66 | — | — | |
| DAD-3DNet2022.04 | 3.08 | 4.76 | 3.15 | 3.66 | — | — | |
| DAD-3DNetEnd to End=false, 3DMM=true2024.07 | 3.08 | 4.76 | 3.15 | 3.66 | — | — | |
| EHPNet2024.07 | 3.23 | 5.54 | 3.88 | 4.15 | — | — | |
| 6DRepNetEnd to End=false, 3DMM=false2024.07 | 3.27 | 4.58 | 2.98 | 3.61 | — | — | |
| MNNRepresentation=Euler2024.01 | 3.34 | 4.69 | 3.48 | 3.83 | — | — | |
| MNN2024.07 | 3.34 | 4.69 | 3.48 | 3.83 | — | — | |
| img2poseRepresentation=Rot. vector2024.01 | 3.42 | 5.03 | 3.27 | 3.91 | 6.41 | — | |
| img2pose2024.07 | 3.42 | 5.03 | 3.27 | 3.91 | 6.41 | — | |
| SynergyNet2024.07 | 3.42 | 4.09 | 2.55 | 3.35 | — | — | |
| SynergyNet2022.04 | 3.42 | 4.09 | 2.55 | 3.35 | — | — | |
| Img2Pose2022.04 | 3.43 | 5.03 | 3.28 | 3.91 | — | — | |
| Img2PoseEnd to End=true, 3DMM=false2024.07 | 3.43 | 5.03 | 3.28 | 3.91 | — | — | |
| 6DoF-HPE2024.07 | 3.56 | 4.74 | 3.35 | 3.88 | — | — | |
| 6DRepNet2024.07 | 3.63 | 4.91 | 3.37 | 3.97 | — | — | |
| LSR2024.07 | 3.81 | 5.42 | 4 | 4.41 | — | — | |
| SADRNet2024.07 | 3.93 | 5 | 3.54 | 3.82 | — | — | |
| QuatNetRepresentation=Quaternion2024.01 | 3.97 | 5.61 | 3.92 | 4.5 | — | — | |
| QuatNet2024.07 | 3.97 | 5.61 | 3.92 | 4.5 | — | — | |
| TriNetRepresentation=Rot. matrix2024.01 | 4.19 | 5.76 | 4.04 | 4.66 | — | — | |
| MFDNetRepresentation=Rot. matrix2024.01 | 4.3 | 5.16 | 3.69 | 4.38 | — | — | |
| MFDNet2024.07 | 4.3 | 5.16 | 3.69 | 4.38 | — | — | |
| 3DDFA-V22022.04 | 4.3 | 8.48 | 9.89 | 7.56 | — | — | |
| 3DDFA-V2End to End=false, 3DMM=true2024.07 | 4.3 | 8.48 | 9.89 | 7.56 | — | — | |
| TokenHPERepresentation=Rot. matrix2024.01 | 4.36 | 5.54 | 4.08 | 4.66 | — | — | |
| TokenHPE2024.07 | 4.36 | 5.54 | 4.08 | 4.66 | — | — | |
| WHENetRepresentation=Euler2024.01 | 4.44 | 5.75 | 4.31 | 4.83 | — | — | |
| WHENet2024.07 | 4.44 | 5.75 | 4.31 | 4.83 | — | — | |
| FSA-NetRepresentation=Euler2024.01 | 4.5 | 6.08 | 4.64 | 5.07 | 8.16 | — | |
| FSA-Net2024.07 | 4.5 | 6.08 | 4.64 | 5.07 | 8.16 | — | |
| RetinaNet2022.04 | 5.1 | 9.64 | 3.92 | 6.22 | — | — | |
| RetinaFaceEnd to End=true, 3DMM=false2024.07 | 5.1 | 9.64 | 3.92 | 6.22 | — | — | |
| 3DDFA2022.04 | 5.4 | 8.53 | 7.39 | 7.39 | — | — | |
| Fanlandmarks=12 points2022.04 | 6.36 | 12.28 | 8.71 | 9.12 | — | — | |
| HopeNetRepresentation=Euler2024.01 | 6.47 | 6.56 | 5.44 | 6.15 | 9.93 | — | |
| HopeNet2024.07 | 6.47 | 6.56 | 5.44 | 6.15 | 9.93 | — | |
| HopeNet2022.04 | 6.47 | 6.56 | 5.44 | 6.16 | — | — | |
| RingNet2022.04 | 6.92 | 4.39 | 13.51 | 8.27 | — | — | |
| Dliblandmarks=68 points2022.04 | 18.27 | 12.6 | 9 | 13.29 | — | — | |
| Euler L2 ScoringScoring Function=Euler L2, Backbone=SixDRepNet, Target Error Level (alpha)=0.102026.06 | — | — | — | — | — | 89.8 | |
| Geodesic ScoringScoring Function=Geo., Backbone=SixDRepNet, Target Error Level (alpha)=0.102026.06 | — | — | — | — | — | 89.8 | |
| Metric-corrected ScoringScoring Function=Met.-corr., Backbone=SixDRepNet, Target Error Level (alpha)=0.102026.06 | — | — | — | — | — | 89.8 | |
| Normalised Geodesic ScoringScoring Function=N. Geo., Backbone=SixDRepNet, Target Error Level (alpha)=0.102026.06 | — | — | — | — | — | 89.5 |