Facial Landmark Detection on 300W challenging
3.99NMECCNN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| CCNN2021.11 | 3.99 | — | — | |
| STARNormalization=inter-ocular2023.06 | 4.32 | — | — | |
| STAR loss (smooth-l1 distance)Backbone=Hourglass, Param. (M)=13.372023.06 | 4.32 | — | — | |
| DTLDNormalization=inter-ocular2023.06 | 4.5 | — | — | |
| DTLDBackbone=ResNet-18, Param. (M)=13.32023.06 | 4.5 | — | — | |
| GV(HRNet)backbone=HRNet2021.11 | 4.51 | — | — | |
| AWingYear=2019, Backbone=Hourglass2021.05 | 4.52 | — | — | |
| AWing2021.11 | 4.52 | — | — | |
| AWingNormalization=inter-ocular2023.06 | 4.52 | — | — | |
| AwingBackbone=Hourglass, Param. (M)=25.12023.06 | 4.52 | — | — | |
| AWingYear=2019, Backbone=Hourglass2020.03 | 4.52 | — | — | |
| ADNetNormalization=inter-ocular2023.06 | 4.58 | — | — | |
| ADNetBackbone=Hourglass, Param. (M)=13.372023.06 | 4.58 | — | — | |
| BarrelNet (ours)Backbone=ResNet-1012021.05 | 4.6 | — | — | |
| Baseline (ours)Backbone=ResNet-1012021.05 | 4.68 | — | — | |
| BarrelNet (ours)Backbone=ResNet-502021.05 | 4.71 | — | — | |
| GEAN2021.11 | 4.71 | — | — | |
| DAGYear=2020, Backbone=HRNet-W182021.05 | 4.77 | — | — | |
| DAGBackbone=HRNet-W182023.06 | 4.77 | — | — | |
| LRefNets2021.11 | 4.78 | — | — | |
| Baseline (ours)Backbone=ResNet-502021.05 | 4.79 | — | — | |
| BarrelNet (ours)Backbone=ResNet-182021.05 | 4.84 | — | — | |
| SLLearning Paradigm=Oracle2024.04 | 4.86 | — | — | |
| PIPNetYear=2020, Backbone=ResNet-1012021.05 | 4.89 | — | — | |
| PIPNetNormalization=inter-ocular2023.06 | 4.89 | — | — | |
| HIHNormalization=inter-ocular2023.06 | 4.89 | — | — | |
| HIHBackbone=Hourglass, Param. (M)=22.682023.06 | 4.89 | — | — | |
| PIPNetBackbone=ResNet-101, Param. (M)=45.72023.06 | 4.89 | — | — | |
| PIPNetBackbone=ResNet-1012020.03 | 4.89 | — | — | |
| SLPTNormalization=inter-ocular2023.06 | 4.9 | — | — | |
| SLPTBackbone=HRNet-W18C-lite, Param. (M)=9.982023.06 | 4.9 | — | — | |
| Conditional Face WarpingLearning Paradigm=DA (300W → CariFace) and GZSL (Unseen ArtiFace)2024.04 | 4.91 | — | — | |
| 3DDE2021.11 | 4.92 | — | — | |
| 3DDEYear=2019, External area data for training=true2020.03 | 4.92 | — | — | |
| Baseline (ours)Backbone=ResNet-182021.05 | 4.93 | — | — | |
| HG-HSLEYear=2019, Backbone=Hourglass2021.05 | 5.03 | — | — | |
| PIPNetYear=2020, Backbone=ResNet-502021.05 | 5.03 | — | — | |
| HG-HSLEYear=2019, Backbone=Hourglass2020.03 | 5.03 | — | — | |
| PIPNetBackbone=ResNet-502020.03 | 5.03 | — | — | |
| PIPNetBackbone=MobileNetV32020.03 | 5.07 | — | — | |
| PFLD 1Xscale=1X2021.11 | 5.08 | — | — | |
| Conditional Face WarpingLearning Paradigm=DA (300W → ArtiFace) and GZSL (Unseen CariFace)2024.04 | 5.14 | — | — | |
| HRNetV2backbone=HRNetV2-W182019.04 | 5.15 | — | — | |
| HRNetV2-W18backbone=HRNetV2-W182019.08 | 5.15 | — | — | |
| HRNetYear=2019, Backbone=HRNet-W182021.05 | 5.15 | — | — | |
| HRNetV2021.11 | 5.15 | — | — | |
| DU-NetNormalization=inter-ocular2023.06 | 5.15 | — | — | |
| HRNetBackbone=HRNet-W18, Param. (M)=9.72023.06 | 5.15 | — | — | |
| HRNetYear=2019, Backbone=HRNetV2-W182020.03 | 5.15 | — | — | |
| LUVLiYear=2020, Backbone=DU-Net2021.05 | 5.16 | — | — | |
| LUVLiNormalization=inter-ocular2023.06 | 5.16 | — | — | |
| LUVLiBackbone=DU-Net2023.06 | 5.16 | — | — | |
| LUVLiYear=2020, Backbone=DU-Net2020.03 | 5.16 | — | — | |
| PIPNetYear=2020, Backbone=ResNet-182021.05 | 5.18 | — | — | |
| SL+FDALearning Paradigm=DA (300W → CariFace) and GZSL (Unseen ArtiFace)2024.04 | 5.18 | — | — | |
| PIPNetBackbone=ResNet-182020.03 | 5.18 | — | — | |
| LAB (w/ B)backbone=Hourglass, extra info=boundary information2019.04 | 5.19 | — | — | |
| LAB (w/ B)backbone=Hourglass, extra_info=boundary information (B)2019.08 | 5.19 | — | — | |
| LABYear=2018, Backbone=ResNet-182021.05 | 5.19 | — | — | |
| LAB2021.02 | 5.19 | — | — | |
| LAB2021.11 | 5.19 | — | — | |
| LABNormalization=inter-ocular2023.06 | 5.19 | — | — | |
| LABBackbone=Hourglass, Param. (M)=12.262023.06 | 5.19 | — | — | |
| LABYear=2018, Backbone=ResNet-182020.03 | 5.19 | — | — | |
| DCFE (w/ 3D)extra info=3D information2019.04 | 5.22 | — | — | |
| DCFE (w/ 3D)extra_info=3D information (3D)2019.08 | 5.22 | — | — | |
| DCFE2021.02 | 5.22 | — | — | |
| DCFE2021.11 | 5.22 | — | — | |
| DCFEYear=2018, External area data for training=true2020.03 | 5.22 | — | — | |
| DAN2019.04 | 5.24 | — | — | |
| DAN2019.08 | 5.24 | — | — | |
| DAN2021.02 | 5.24 | — | — | |
| DAN2021.11 | 5.24 | — | — | |
| DeCaFANormalization=inter-ocular2023.06 | 5.26 | — | — | |
| DeCaFaBackbone=U-Net, Param. (M)=102023.06 | 5.26 | — | — | |
| SL+ASNLearning Paradigm=DA (300W → CariFace) and GZSL (Unseen ArtiFace)2024.04 | 5.26 | — | — | |
| DeCaFAYear=2019, Backbone=Cascaded U-net, External area data for training=true2020.03 | 5.26 | — | — | |
| PIPNetBackbone=MobileNetV22020.03 | 5.3 | — | — | |
| SL+BDLLearning Paradigm=DA (300W → ArtiFace) and GZSL (Unseen CariFace)2024.04 | 5.32 | — | — | |
| SL+CycleGANLearning Paradigm=DA (300W → CariFace) and GZSL (Unseen ArtiFace)2024.04 | 5.43 | — | — | |
| ResNet50-FFLDbackbone=ResNet-502021.11 | 5.44 | — | — | |
| SL+RevGradLearning Paradigm=DA (300W → CariFace) and GZSL (Unseen ArtiFace)2024.04 | 5.58 | — | — | |
| SL+CycleGANLearning Paradigm=DA (300W → ArtiFace) and GZSL (Unseen CariFace)2024.04 | 5.65 | — | — | |
| ADAYear=2020, Backbone=Hourglass2021.05 | 5.68 | — | — | |
| ADAYear=2020, Backbone=Hourglass2020.03 | 5.68 | — | — | |
| efnbackbone=EfficientNet-B32021.11 | 5.8 | — | — | |
| SL+RevGradLearning Paradigm=DA (300W → ArtiFace) and GZSL (Unseen CariFace)2024.04 | 5.81 | — | — | |
| SL+ASNLearning Paradigm=DA (300W → ArtiFace) and GZSL (Unseen CariFace)2024.04 | 5.81 | — | — | |
| TS³Annotation Ratio=100%, Additional Training Data=Unlabeled AFLW data2019.08 | 5.91 | — | — | |
| mnv2KDbackbone=MobileNetV22021.11 | 6.13 | — | — | |
| SL+BDLLearning Paradigm=DA (300W → CariFace) and GZSL (Unseen ArtiFace)2024.04 | 6.17 | — | — | |
| SL+FDALearning Paradigm=DA (300W → ArtiFace) and GZSL (Unseen CariFace)2024.04 | 6.21 | — | — | |
| STARNormalization=Inter-pupil2023.06 | 6.22 | — | — | |
| TS³Annotation Ratio=100%2019.08 | 6.41 | — | — | |
| AVS + SANBackbone=ITN-CPM2023.06 | 6.46 | — | — | |
| ADNetNormalization=Inter-pupil2023.06 | 6.47 | — | — | |
| AVS w/ SANYear=2019, Backbone=ITN-CPM2021.05 | 6.49 | — | — | |
| AVS w/ SANYear=2019, Backbone=ITN-CPM2020.03 | 6.49 | — | — | |
| AWingNormalization=Inter-pupil2023.06 | 6.52 | — | — | |
| SANbackbone=ResNet-1522019.04 | 6.6 | — | — |