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ResearchFormerly WizWand

Facial Landmark Detection on AFLW Front (NME)

1.14NMELAB
0.97122.11063.254.3894Mar 12, 2018Jul 31, 2018Dec 19, 2018May 10, 2019Sep 28, 2019Feb 16, 2020Jul 7, 2020
Updated 8mo ago

Evaluation results

MethodLinks
LABbackbone=Hourglass, extra_info=B2019.041.14
LAB (w/ B)backbone=Hourglass, extra boundary information=true2019.081.14
ODN2020.071.38
AnchorFacebackbone=ShuffleNet-V2, resolution=224x2242020.071.38
HRNetV2-W18backbone=HRNetV2-W182019.041.46
HRNetV2-W18backbone=HRNetV2-W182019.081.46
LABbackbone=Hourglass, extra_info=none2019.041.62
LAB (w/o B)backbone=Hourglass, extra boundary information=false2019.081.62
DAC-CSR2019.041.81
DAC-CSR2019.081.81
SAN2018.031.85
SANbackbone=ResNet-1522019.041.85
SANbackbone=ResNet-1522019.081.85
SAN2020.071.85
CCL2018.032.17
CCL2019.042.17
CCL2019.082.17
CCL2020.072.17
CFSS2018.032.68
CFSS2019.042.68
CFSS2019.082.68
CFSS2020.072.69
LBF2018.032.74
LBF2019.042.74
LBF2019.082.74
LBF2020.072.74
ERT2018.032.75
ERT2019.042.75
ERT2019.082.75
RCPR2019.042.87
RCPR2019.082.87
SDM2018.032.94
SDM2019.042.94
SDM2019.082.94
CDM2019.043.77
CDM2019.083.77
RCN2019.045.36
RCN2019.085.36