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Heart Rate Estimation on UBFC-rPPG (test)

0.17MAErPPG-MAE
-1.236488.2572617.75127.24474Jun 12, 2022Feb 10, 2023Oct 11, 2023Jun 11, 2024Feb 9, 2025Oct 10, 2025Jun 11, 2026

Evaluation results

MethodLinks
rPPG-MAEType=Label-free2026.060.170.21—0.99——
FCUS-rPPGType=Label-free2026.060.311.03—0.99——
Ma et al.Type=Label-free2026.060.380.92—0.99——
DRNetReference=Ours2022.060.420.640.450.998——
Dual-GANReference=CVPR2022.060.440.670.420.99——
Dual-GANType=Supervised2023.030.440.67—0.99——
Dual-GANType=Supervised2026.060.440.67—0.99——
RhythmFormersource=Reproduced2026.060.450.76—0.9970.46—
RhythmFormersource=Reported in paper [9]2026.060.50.78—0.990.47—
RPNetType=Supervised2026.060.531.78—0.99——
PhysNetType=Supervised2026.060.552.03—0.99——
Yue et al.Type=Label-free2026.060.580.94—0.99——
SiNCType=Label-free2026.060.591.83—0.99——
Contrast-PhysType=Unsupervised2023.030.641—0.99——
Contrast-Phys+Type=Label-free2026.060.641—0.99——
MVRD-rPPGTraining Dataset=MVRD Movement, Fine-tuning=false2026.030.831.73—0.98——
Periodic-MAETrain set=PURE2025.060.861.78—0.990.957.84
RhythmFormerTrain set=PURE2025.060.891.83—0.990.976.05
PhysNetTrain set=PURE2025.060.982.48—0.991.121.49
ToTMNetParameters=0.063M2026.011.0552.358—0.9962.358-1.387
PulseGANReference=JBHI2022.061.192.11.240.98——
PulseGANType=Supervised2023.031.192.1—0.98——
PulseGAN2025.041.192.10.01240.98——
DeepPhysTrain set=PURE2025.061.212.9—0.991.421.74
TS-CANTrain set=PURE2025.061.32.87—0.991.51.49
ToTMNetTrain Dataset=SCAMPS2026.011.5822.862—0.9941.66-5.385
Gideon2021Type=Unsupervised2023.031.854.28—0.93——
Gideon2021Type=Label-free2026.061.854.28—0.93——
SiNCTraining Dataset=MVRD Movement, Fine-tuning=false2026.031.953.12—0.85——
EfficientPhysTrain set=PURE2025.062.076.32—0.942.1-0.12
POSType=Traditional2023.032.119.11—0.87——
TS-CANTrain Dataset=SCAMPS2026.012.2853.871—0.9923.071-3.907
TS-CANParameters=2.229M2026.012.2853.871—0.9923.871-2.078
PhysFormerTrain set=PURE2025.062.356.26—0.942.322.97
CHROMType=Traditional2023.032.369.23—0.87——
CHROMTraining Dataset=MVRD Movement, Fine-tuning=false2026.032.374.91—0.89——
RF-Net2025.042.566.60.02840.86——
EfficientPhysParameters=2.163M2026.013.4314.467—0.9944.181-1.771
POSType=Traditional2026.063.6711.82—0.88——
PhysNetTrain Dataset=SCAMPS2026.014.0436.051—0.9854.619-5.209
SimPerType=Unsupervised, Fine-tuning on labeled data with a linear classifier=true2023.034.24—————
SimPerType=Label-free2026.064.24—————
POS2026.014.73315.692—0.77815.692-2.602
ICAType=Traditional2026.064.7716.07—0.72——
ICAType=Traditional2023.035.1711.76—0.65——
PhysNetParameters=0.769M2026.015.3267.802—0.9867.03-1.384
SynRhythmReference=ICPR2022.065.596.825.50.72——
SynRhythmType=Supervised2023.035.596.82—0.72——
SynRhythm2025.045.596.280.0550.72——
CHROMType=Traditional2026.065.7714.93—0.81——
CHROM2026.015.81416.69—0.75116.69-3.424
GREENReference=Opt. Express2022.066.017.876.480.29——
GREEN2025.046.017.870.06480.29——
PhysFormerTrain Dataset=SCAMPS2026.016.6811.935—0.9389.124-3.58
PhysNetTraining Dataset=MVRD Movement, Fine-tuning=false2026.037.149.42—0.67——
Contrast-Phys+Training Dataset=MVRD Movement, Fine-tuning=false2026.037.158.99—0.55——
GREENType=Traditional2023.037.514.41—0.62——
PhysFormerTraining Dataset=MVRD Movement, Fine-tuning=false2026.037.899.07—0.7——
PhysFormerParameters=7.381M2026.018.08610.793—0.94610.793-3.199
CHROMReference=TBME2022.068.29.929.170.27——
CHROM2025.048.29.920.09170.27——
POSReference=TBME2022.068.35109.850.24——
POS2025.048.35100.09850.24——
SLF-RPMType=Unsupervised, Fine-tuning on labeled data with a linear classifier=true2023.038.399.7—0.7——
SLF-RPMType=Label-free2026.068.399.7—0.7——
GREENType=Traditional2026.0610.0923.85—0.34——
ICA2026.0121.90534.141—0.35634.141-8.011
GREEN2026.0130.69442.803—0.19942.803-9.916
EfficientPhysTrain Dataset=SCAMPS2026.0135.33250.543—-0.56328.827-5.671