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Face Parsing on LaPa (test)

97.8Skin AccuracyRTNet
93.32894.48995.6596.811Jul 22, 2020May 26, 2021Mar 30, 2022Feb 1, 2023Dec 6, 2023Oct 9, 2024Aug 13, 2025

Evaluation results

MethodLinks
RTNet2021.0297.896.591.590.988.790.590.596.990.189.192.5——
AGRNetBackbone=ResNet-1012021.0197.796.591.691.188.590.790.197.389.99092.3——
AGRNetBackbone=ResNet-1012021.0197.796.591.691.188.590.790.197.389.99092.3——
AGRNetPretrain=-, Fine-tuning=false2025.0897.796.591.691.188.590.790.197.389.99092.3——
PaCo-FRPretrain=2M, Fine-tuning=true2025.0897.6395.4392.3292.4388.9990.8290.2197.6991.7491.2792.85—0.55
DML-CSR2022.0397.696.491.891.58890.589.997.390.490.4—92.4—
FaRLPretrain=20M, Fine-tuning=true2025.0897.5295.1192.3392.0988.6990.790.0597.5591.5791.3492.7—0.4
FaceSyntheticsTraining Data=Real2021.0997.586.991.491.587.389.889.496.989.389.390.9——
PaCo-FRPretrain=2M, Fine-tuning=false2025.0897.4794.9292.0792.0988.4890.7390.0897.4891.0490.8292.52—0.22
MCFPretrain=2M, Fine-tuning=true2025.0897.4694.9392.2692.2288.3190.289.8497.5391.290.7992.48—0.18
FaRLPretrain=20M, Fine-tuning=false2025.0897.3894.5391.8891.6988.290.5989.8597.4290.8490.8592.32—0.02
EAGRNet2020.0797.396.289.59088.1908997.186.58791.1——
Te et al.2021.0297.396.289.59088.1908997.186.58791.1——
Te et al.Venue=ECCV'202021.0997.396.289.59088.1908997.186.58791.1——
Te et al.2021.0197.396.289.59088.1908997.186.58791.1——
Te et al.2021.0197.396.289.59088.1908997.186.58791.1——
Te et al.2022.0397.396.289.59088.1908997.186.587—91.1—
EAGRPretrain=-, Fine-tuning=false2025.0897.396.289.59088.1908997.186.58791.1—-1.2
MCFPretrain=2M, Fine-tuning=false2025.0897.394.3991.6791.687.8690.0289.797.3390.4489.9892.03—-0.27
Liu et al.2020.0797.296.388.18884.487.685.795.587.787.689.8——
Liu et al.2021.0297.296.388.18884.487.685.795.587.787.689.8——
Liu et al.Venue=AAAI'202021.0997.296.388.18884.487.685.795.587.787.689.8——
Liu et al.2021.0197.296.388.18884.487.685.795.587.787.689.8——
Liu et al.2021.0197.296.388.18884.487.685.795.587.787.689.8——
Liu et al.2022.0397.296.388.18884.487.685.795.587.787.6—89.8—
BASSPretrain=-, Fine-tuning=false2025.0897.296.388.18884.487.685.795.587.787.689.8—-2.5
FaceSyntheticsTraining Data=Synthetic2021.0997.185.790.690.185.988.888.496.788.688.590.1——
ScratchPretrain=None, Fine-tuning=false2025.0897.0692.8991.4391.0287.0689.4188.9497.1789.7189.0691.37—-0.93
Wei et al.2021.0196.195.188.987.583.189.283.896.18687.889.4——
Wei et al.2021.0196.195.188.987.583.189.283.896.18687.889.4——
Wei et al.Pretrain=-, Fine-tuning=false2025.0896.195.188.987.583.189.283.896.18687.889.4—-2.9
Luo et al.2021.0195.894.38789.185.385.688.894.385.986.189.2——
Luo et al.2021.0195.894.38789.185.385.688.894.385.986.189.2——
EHANetPretrain=-, Fine-tuning=false2025.0895.894.38789.185.385.688.894.385.986.189.2—-3.1
Zhao et al.2020.0793.594.186.38683.686.984.794.886.886.988.4——
Zhao et al.2021.0293.594.186.38683.686.984.794.886.886.988.4——
Zhao et al.2021.0193.594.186.38683.686.984.794.886.886.988.4——
Zhao et al.2021.0193.594.186.38683.686.984.794.886.886.988.4——
Zhao et al.2022.0393.594.186.38683.686.984.794.886.886.9—88.4—