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Facial Landmark Detection on 300W (Common, Challenge, Fullset)

2.87NMESTAR loss (smooth-l1 distance)
2.76843.45424.144.8258Mar 8, 2020Nov 13, 2020Jul 21, 2021Mar 29, 2022Dec 4, 2022Aug 11, 2023Apr 18, 2024

Evaluation results

MethodLinks
STAR loss (smooth-l1 distance)Backbone=Hourglass, Param. (M)=13.372023.062.87———————
ADNetBackbone=Hourglass, Param. (M)=13.372023.062.93———————
DTLDBackbone=ResNet-18, Param. (M)=13.32023.062.96———————
RePFormerBackbone=ResNet-1012023.063.01———————
DAGBackbone=HRNet-W182023.063.04———————
AwingBackbone=Hourglass, Param. (M)=25.12023.063.07———————
AWingYear=2019, Backbone=Hourglass, External area data for training=false2020.033.07———————
HIHBackbone=Hourglass, Param. (M)=22.682023.063.09———————
SLLearning Paradigm=Oracle2024.043.1———————
3DDEYear=2019, External area data for training=true2020.033.13———————
SLPTBackbone=HRNet-W18C-lite, Param. (M)=9.982023.063.17———————
PIPNetBackbone=ResNet-101, Param. (M)=45.72023.063.19———————
PIPNetBackbone=ResNet-1012020.033.19———————
Conditional Face WarpingLearning Paradigm=DA (300W → CariFace) and GZSL (Unseen ArtiFace)2024.043.2———————
LUVLiBackbone=DU-Net2023.063.23———————
LUVLiYear=2020, Backbone=DU-Net, External area data for training=false2020.033.23———————
DCFEYear=2018, External area data for training=true2020.033.24———————
PIPNetBackbone=ResNet-502020.033.24———————
SL+CycleGANLearning Paradigm=DA (300W → CariFace) and GZSL (Unseen ArtiFace)2024.043.27———————
HG-HSLEYear=2019, Backbone=Hourglass, External area data for training=false2020.033.28———————
HRNetBackbone=HRNet-W18, Param. (M)=9.72023.063.32———————
HRNetYear=2019, Backbone=HRNetV2-W18, External area data for training=false2020.033.32———————
SL+FDALearning Paradigm=DA (300W → CariFace) and GZSL (Unseen ArtiFace)2024.043.34———————
Conditional Face WarpingLearning Paradigm=DA (300W → ArtiFace) and GZSL (Unseen CariFace)2024.043.34———————
PIPNetBackbone=MobileNetV32020.033.36———————
PIPNetBackbone=ResNet-182020.033.36———————
SL+RevGradLearning Paradigm=DA (300W → CariFace) and GZSL (Unseen ArtiFace)2024.043.38———————
SL+ASNLearning Paradigm=DA (300W → CariFace) and GZSL (Unseen ArtiFace)2024.043.38———————
DeCaFaBackbone=U-Net, Param. (M)=102023.063.39———————
DeCaFAYear=2019, Backbone=Cascaded U-net, External area data for training=true2020.033.39———————
PIPNetBackbone=MobileNetV22020.033.4———————
SL+BDLLearning Paradigm=DA (300W → ArtiFace) and GZSL (Unseen CariFace)2024.043.44———————
SL+ASNLearning Paradigm=DA (300W → ArtiFace) and GZSL (Unseen CariFace)2024.043.46———————
LABBackbone=Hourglass, Param. (M)=12.262023.063.49———————
LABYear=2018, Backbone=ResNet-18, External area data for training=false2020.033.49———————
TS^3Year=2019, Backbone=Hourglass+CPM, External area data for training=true2020.033.49———————
ADAYear=2020, Backbone=Hourglass, External area data for training=false2020.033.5———————
SL+CycleGANLearning Paradigm=DA (300W → ArtiFace) and GZSL (Unseen CariFace)2024.043.52———————
SL+RevGradLearning Paradigm=DA (300W → ArtiFace) and GZSL (Unseen CariFace)2024.043.55———————
SL+FDALearning Paradigm=DA (300W → ArtiFace) and GZSL (Unseen CariFace)2024.043.68———————
DeCaFAYear=2019, Backbone=Cascaded U-net, External area data for training=false2020.033.69———————
TS^3Year=2019, Backbone=Hourglass+CPM, External area data for training=false2020.033.78———————
SL+BDLLearning Paradigm=DA (300W → CariFace) and GZSL (Unseen ArtiFace)2024.043.84———————
AVS + SANBackbone=ITN-CPM2023.063.86———————
AVS w/ SANYear=2019, Backbone=ITN-CPM, External area data for training=false2020.033.86———————
LaplaceKLYear=2019, External area data for training=true2020.033.91———————
SANYear=2018, Backbone=ITN-CPM, External area data for training=false2020.033.98———————
LaplaceKLYear=2019, External area data for training=false2020.034.01———————
ODNYear=2019, Backbone=ResNet-18, External area data for training=false2020.034.17———————
RCN+Year=2018, External area data for training=false2020.034.9———————
TSRYear=2017, External area data for training=false2020.034.99———————
RCNYear=2016, External area data for training=false2020.035.41———————
2D-FANPre-trained on 300W-LP-2D=true2022.08——————2.3266.5
3DDFANormalization=Inter-Pupil Normalization, Year=20162020.04—6.1510.597.01————
ADNet2026.01————2.93———
AWing2026.01————3.07———
AWINGNormalization=Inter-Pupil Normalization, Year=20192020.04—3.776.524.31————
CFANNormalization=Inter-Pupil Normalization, Year=20142020.04—5.516.787.69————
CFSSNormalization=Inter-Pupil Normalization, Year=20152020.04—4.739.985.76————
CNN-CRFArchitecture=4-stack2020.10————3.34.63——
DAG (Ours)Normalization=Inter-Pupil Normalization, Year=20202020.04—3.646.884.27————
DCFENormalization=Inter-Pupil Normalization, Year=20182020.04—3.837.544.55————
DTLD2026.01————2.96———
DTLD-sPre-trained on 300W-LP-2D=false2022.08——————2.0570.9
DVLNNormalization=Inter-Pupil Normalization, Year=20172020.04—3.947.624.66————
ESRNormalization=Inter-Pupil Normalization, Year=20142020.04—5.28177.58————
FGTBT2026.01————3.06———
GFL2026.01————3.2———
GlomFace2026.01————3.13———
HG-HSLENormalization=Inter-Pupil Normalization, Year=20192020.04—3.947.244.59————
HGs2026.01————4.41———
KDNPre-trained on 300W-LP-2D=false2022.08——————2.4967.3
KDNPre-trained on 300W-LP-2D=true2022.08——————2.2168.3
LABNormalization=Inter-Pupil Normalization, Year=20182020.04—3.426.984.12————
LABArchitecture=4-stack2020.10————3.494.92——
LAB2026.01————3.49———
LBFNormalization=Inter-Pupil Normalization, Year=20142020.04—4.9511.986.32————
LUVLi2026.01————3.23———
LUVLiPre-trained on 300W-LP-2D=false2022.08——————2.2468.3
LUVLiPre-trained on 300W-LP-2D=true2022.08——————2.170.2
MDM2020.10————4.055.88——
MDM2026.01————4.99———
ODN2026.01————4.17———
PicassoNet2026.01————3.58———
RCNNormalization=Inter-Pupil Normalization, Year=20162020.04—4.678.445.41————
RDR2020.10————5.8———
SAN2020.10————3.98———
SANPre-trained on 300W-LP-2D=true2022.08——————2.8659.7
SBRWeak Supervision Source=YouTube-Face2026.01—————4.1——
SDMNormalization=Inter-Pupil Normalization, Year=20132020.04—5.5715.47.52————
Semi-SCPANWeak Supervision Source=CelebA2026.01—————3.52——
SeqMTNormalization=Inter-Pupil Normalization, Year=20182020.04—4.849.935.74————
SHT-MWeak Supervision Source=YouTube-Face, Input Resolution=64x64x32026.01—————3.59——
SHT-MWeak Supervision Source=AFLW, Input Resolution=64x64x32026.01—————3.53——
SHT-M-iWeak Supervision Source=CelebA, Input Resolution=64x64x32026.01—————3.59——
SLPT2026.01————3.17———
SoftlabelPre-trained on 300W-LP-2D=true2022.08——————2.3266.6
STYLENormalization=Inter-Pupil Normalization, Year=20192020.04—3.987.214.54————
TCDCNNormalization=Inter-Pupil Normalization, Year=20152020.04—4.88.65.54————
TSWeak Supervision Source=AFLW2026.01—————3.49——