Facial Landmark Detection on COFW (test)
0.0321NMEHIH
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| HIHNormalization Protocol=Inter-Ocular2023.06 | 0.0321 | — | 0 | — | |
| STARNormalization Protocol=Inter-Ocular2023.06 | 0.0321 | — | 0 | — | |
| SLPTNormalization Protocol=Inter-Ocular2023.06 | 0.0332 | — | 0 | — | |
| HeatmapNormalization Protocol=Inter-Ocular2023.06 | 0.0345 | — | 0.2 | — | |
| SDFLNormalization Protocol=Inter-Ocular2023.06 | 0.0363 | — | 0 | — | |
| CoordNormalization Protocol=Inter-Ocular2023.06 | 0.0373 | — | 0.39 | — | |
| LABNormalization Protocol=Inter-Ocular2023.06 | 0.0392 | — | 0.39 | — | |
| STARNormalization Protocol=Inter-Pupil2023.06 | 0.0462 | — | 0.79 | — | |
| HIHNormalization Protocol=Inter-Pupil2023.06 | 0.0463 | — | 0.39 | — | |
| ADNetNormalization Protocol=Inter-Pupil2023.06 | 0.0468 | — | 0.59 | — | |
| SLPTNormalization Protocol=Inter-Pupil2023.06 | 0.0479 | — | 1.18 | — | |
| AWingNormalization Protocol=Inter-Pupil2023.06 | 0.0494 | — | 0.99 | — | |
| DCFENormalization Protocol=Inter-Pupil2023.06 | 0.0527 | — | 7.29 | — | |
| WingNormalization Protocol=Inter-Pupil2023.06 | 0.0544 | — | 3.75 | — | |
| HumanNormalization Protocol=Inter-Pupil2023.06 | 0.056 | — | — | — | |
| DAC-CSRNormalization Protocol=Inter-Ocular2023.06 | 0.0603 | — | 4.73 | — | |
| TCDCNNormalization Protocol=Inter-Pupil2023.06 | 0.0805 | — | — | — | |
| Subpixel Heatmap RegressionSiamese training=true, Heatmap encoding=subpixel2021.11 | 3.02 | 0 | — | — | |
| WBF → HRNetV2Backbone=HRNetV2-W18, Pre-training=WBF dataset2022.08 | 3.36 | 0.19 | — | — | |
| GV(HRNet)Backbone=HRNet2021.11 | 3.37 | — | 0.39 | — | |
| HRNetV2-W18backbone=HRNetV2-W182019.04 | 3.45 | 0.19 | — | — | |
| HRNetV2-W18backbone=HRNetV2-W182019.08 | 3.45 | 0.19 | — | — | |
| HR-Net2021.11 | 3.45 | 0.19 | — | — | |
| HRNetV2Backbone=HRNetV22021.11 | 3.45 | — | 0.19 | — | |
| HRNetV2Backbone=HRNetV2-W18, Pre-training=standard2022.08 | 3.45 | 0.19 | — | — | |
| OursTrained on=COFW2020.06 | 3.63 | 0 | — | — | |
| efnBackbone=EfficientNet2021.11 | 3.81 | — | 1.97 | — | |
| LAB (w/ B)backbone=Hourglass, extra_info=B2019.04 | 3.92 | 0.39 | — | — | |
| LABbackbone=Hourglass, extra information=w/ boundary info (B)2019.08 | 3.92 | 0.39 | — | — | |
| LAB18Trained on=COFW2020.06 | 3.92 | 0.39 | — | — | |
| LAB (w/B)with boundary=true2021.11 | 3.92 | 0.39 | — | — | |
| LAB2021.11 | 3.92 | — | 0.39 | — | |
| LABBackbone=Hourglass, extra boundary information=true2022.08 | 3.92 | 0.39 | — | — | |
| mnv2KDBackbone=MobileNetV2, Distillation=KD-Loss2021.11 | 4.11 | — | 2.36 | — | |
| D-ViT2024.11 | 4.13 | — | — | — | |
| OursTrained on=300W2020.06 | 4.18 | 0 | — | — | |
| SAN18 + AVS19Trained on=300W2020.06 | 4.43 | 2.82 | — | — | |
| LAB18Trained on=300W2020.06 | 4.62 | 2.17 | — | — | |
| STAR2024.11 | 4.62 | — | — | — | |
| HIH2024.11 | 4.63 | — | — | — | |
| ADNet2024.11 | 4.68 | — | — | — | |
| SLPT2024.11 | 4.79 | — | — | — | |
| AWing2024.11 | 4.94 | — | — | — | |
| mnv2Backbone=MobileNetV22021.11 | 5.04 | — | 3.74 | — | |
| PDB (w/ DA)backbone=ResNet-50, extra_info=DA2019.04 | 5.07 | 3.16 | — | — | |
| PDBbackbone=ResNet-50, extra information=w/ stronger data augmentation (DA)2019.08 | 5.07 | 3.16 | — | — | |
| Wing2021.11 | 5.07 | 3.16 | — | — | |
| ResNet50 (Wing + PDB)Backbone=ResNet50, Loss=Wing + PDB2021.11 | 5.07 | — | 3.16 | — | |
| PDBBackbone=ResNet-50, stronger data augmentation=true2022.08 | 5.07 | 3.16 | — | — | |
| ODN19Trained on=COFW2020.06 | 5.3 | — | — | — | |
| ODN2021.11 | 5.3 | — | — | — | |
| ResNet50-FFLDBackbone=ResNet50, Method=FFLD2021.11 | 5.32 | — | — | — | |
| Wing18Trained on=COFW2020.06 | 5.44 | 3.37 | — | — | |
| CNN6 (Wing + PDB)Loss=Wing + PDB2021.11 | 5.44 | — | 3.75 | — | |
| Wing2024.11 | 5.44 | — | — | — | |
| LAB (w/o B)backbone=Hourglass, extra_info=false2019.04 | 5.58 | 2.76 | — | — | |
| LABbackbone=Hourglass, extra information=w/o boundary info (B)2019.08 | 5.58 | 2.76 | — | — | |
| LABBackbone=Hourglass, extra boundary information=false2022.08 | 5.58 | 2.76 | — | — | |
| Human2019.04 | 5.6 | — | — | — | |
| Human2019.08 | 5.6 | — | — | — | |
| RAR2019.04 | 6.03 | 4.14 | — | — | |
| DAC-CSR2019.04 | 6.03 | 4.73 | — | — | |
| RAR2019.08 | 6.03 | 4.14 | — | — | |
| DAC-CSR2019.08 | 6.03 | 4.73 | — | — | |
| RAR16Trained on=COFW2020.06 | 6.03 | 4.14 | — | — | |
| DAC-CSR17Trained on=COFW2020.06 | 6.03 | 4.73 | — | — | |
| DAC-CSR2021.11 | 6.03 | — | 4.73 | — | |
| RAR2022.08 | 6.03 | 4.14 | — | — | |
| DAC-CSR2022.08 | 6.03 | 4.73 | — | — | |
| CFSS15Trained on=300W2020.06 | 6.28 | 9.07 | — | — | |
| SFPD17Trained on=COFW2020.06 | 6.4 | — | — | — | |
| SFPD2021.11 | 6.4 | — | — | — | |
| DRDA2019.04 | 6.46 | 6 | — | — | |
| DRDA2019.08 | 6.46 | 6 | — | — | |
| DRDA16Trained on=COFW2020.06 | 6.46 | 6 | — | — | |
| DRDA2022.08 | 6.46 | 6 | — | — | |
| SAPM15Trained on=300W2020.06 | 6.64 | 5.72 | — | — | |
| HPM14Trained on=300W2020.06 | 6.72 | 6.71 | — | — | |
| CCR2019.04 | 7.03 | 10.9 | — | — | |
| CCR2019.08 | 7.03 | 10.9 | — | — | |
| CCR15Trained on=COFW2020.06 | 7.03 | 10.9 | — | — | |
| CCR2022.08 | 7.03 | 10.9 | — | — | |
| HPM2019.04 | 7.5 | 13 | — | — | |
| HPM2019.08 | 7.5 | 13 | — | — | |
| HPM14Trained on=COFW2020.06 | 7.5 | 13 | — | — | |
| HPM2022.08 | 7.5 | 13 | — | — | |
| TCDCN14Trained on=300W2020.06 | 7.66 | 16.17 | — | — | |
| RCPR2019.04 | 8.5 | 20 | — | — | |
| RCPR2019.08 | 8.5 | 20 | — | — | |
| RCPR2022.08 | 8.5 | 20 | — | — | |
| ESR2019.04 | 11.2 | 36 | — | — | |
| ESR2019.08 | 11.2 | 36 | — | — | |
| ESR2022.08 | 11.2 | 36 | — | — | |
| ADNetSource=ICCV 20212026.01 | — | — | 59 | 4.68 | |
| AWingSource=ICCV 20192026.01 | — | — | 99 | 4.94 | |
| CITVersion=v2, Source=IJCV 20242026.01 | — | — | 355 | 5.81 | |
| DSLPTBackbone=ResNet-50, Source=TPAMI 20232026.01 | — | — | 118 | 4.81 | |
| FGTBT2026.01 | — | — | 59 | 4.79 | |
| MMDNSource=TNNLS 20222026.01 | — | — | 178 | 5.01 | |
| ODNSource=CVPR 20192026.01 | — | — | — | 5.3 |