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Face Alignment on AFLW 19

0.943NMEdiagFaRL448ft
0.823921.627712.43153.23529Dec 6, 2021

Evaluation results

MethodLinks
FaRL448ftPre-training=Yes, Fine-tuning=Yes, Resolution=4482021.120.9431.33481.3
FaRLftPre-training=Yes, Fine-tuning=Yes2021.120.9691.37180.8
FaRLPre-training Dataset=LAION-FACE, Pre-training Scale=20M, Supervision Source=face images + web text, Evaluation Protocol=Frozen backbone + head fine-tuning2021.120.991——
FaRLPre-training=Yes, Fine-tuning=No2021.120.9911.40280.4
CLIPPre-training Dataset=WIT, Pre-training Scale=400M, Supervision Source=images + web text, Evaluation Protocol=Frozen backbone + head fine-tuning2021.120.995——
DeiTPre-training Dataset=ImageNet-1K, Pre-training Scale=1.3M, Supervision Source=images + human labels, Evaluation Protocol=Frozen backbone + head fine-tuning2021.121.003——
ViTPre-training Dataset=ImageNet-22K, Pre-training Scale=14M, Supervision Source=images + human labels, Evaluation Protocol=Frozen backbone + head fine-tuning2021.121.004——
MoCo v3Pre-training Dataset=ImageNet-1K, Pre-training Scale=1.3M, Supervision Source=images, Evaluation Protocol=Frozen backbone + head fine-tuning2021.121.007——
Face TransformerPre-training Dataset=MS1MV3, Pre-training Scale=5.1M, Supervision Source=face images + human labels, Evaluation Protocol=Frozen backbone + head fine-tuning2021.121.031——
ScratchPre-training=No, Fine-tuning=Yes2021.121.0471.48179.3
BEiTPre-training Dataset=ImageNet-22K, Pre-training Scale=14M, Supervision Source=images, Evaluation Protocol=Frozen backbone + head fine-tuning2021.121.076——
LABBoundary information=Yes2021.121.25——
LUVLi2021.121.392.2868
Bulat et al.2021.121.54——
HR-Net2021.121.57——
LABBoundary information=No2021.121.85——
DSRN2021.121.86——
SAN2021.121.914.0454
LLL2021.121.97——
DAC-CSR2021.122.27——
CCL2021.122.72——
CFSS2021.123.92——
KDN2021.12—2.860.3
Wing2021.12—3.5653.5