List your company

Pulse Rate Estimation on PURE Intra-dataset

0.23MAE (bpm)RhythmMamba
-0.4284.01358.45512.8965Mar 14, 2023Sep 3, 2023Feb 24, 2024Aug 16, 2024Feb 6, 2025Jul 30, 2025Jan 20, 2026

Evaluation results

MethodLinks
RhythmMambaInput Representation=VIDEO, Supervision Type=Supervised2026.010.230.340.99
Periodic-MAE2025.060.250.40.99
RhythmFormerInput Representation=VIDEO, Supervision Type=Supervised2026.010.270.470.99
MeshPhysInput Representation=STGRAPH, Supervision Type=Supervised2026.010.270.481
RhythmFormer2025.060.270.470.99
Dual-TLInput Representation=STMAPS, Supervision Type=Supervised2026.010.370.680.99
CodePhysInput Representation=VIDEO, Supervision Type=Supervised2026.010.390.830.99
rPPG-MAEInput Representation=STMAPS, Supervision Type=Self-supervised2026.010.40.920.99
Contrast-Phys+2025.060.480.980.99
Siamese2025.060.511.560.83
STGNetInput Representation=VIDEO, Supervision Type=Supervised2026.010.690.980.99
CHROMType=Traditional2023.030.752.231
POSType=Traditional2023.030.84.110.98
Dual-GANType=Supervised2023.030.821.310.99
Dual-GANInput Representation=STMAPS, Supervision Type=Supervised2026.010.821.310.99
Dual-GAN2025.060.821.310.99
DeepPhysInput Representation=VIDEO, Supervision Type=Supervised2026.010.831.540.99
DeepPhys2025.060.831.540.99
Contrast-PhysType=Unsupervised2023.0311.40.99
PhysFormerInput Representation=VIDEO, Supervision Type=Supervised2026.011.11.750.99
PhysFormer2025.061.11.750.99
CVDInput Representation=STMAPS, Supervision Type=Supervised2026.011.292.010.98
OursMethods Type=Learning-based, Clip Duration=2s2025.061.331.970.67
Li et al.2025.061.442.5—
TDM2025.061.832.30.99
HR-CNNType=Supervised2023.031.842.370.98
PhysNetInput Representation=VIDEO, Supervision Type=Supervised2026.012.12.60.99
PhysNet2025.062.12.60.99
Gideon2021Type=Unsupervised2023.032.32.90.99
2SRType=Traditional2023.032.443.060.98
TS-CANInput Representation=VIDEO, Supervision Type=Supervised2026.012.489.010.92
TS-CAN2025.062.489.010.92
POSInput Representation=ROI, Supervision Type=Traditional2026.013.6711.820.88
ICAType=Traditional2023.033.7612.60.85
SimPerType=Unsupervised, Fine-tuning on labeled data with a linear classifier=true2023.033.89——
X-iPPGNetMethods Type=Learning-based, Clip Duration=2s2025.064.615.360.49
PRnetMethods Type=Learning-based, Clip Duration=2s2025.064.945.440.45
DD-rPPGNetMethods Type=Learning-based, Clip Duration=2s2025.065.236.66-0.02
CHROMInput Representation=ROI, Supervision Type=Traditional2026.015.7714.930.81
Dual-bridgingMethods Type=Learning-based, Clip Duration=2s2025.065.826.740.42
RErPPG-NetMethods Type=Learning-based, Clip Duration=2s2025.066.257.830.47
PhysFormerMethods Type=Learning-based, Clip Duration=2s2025.066.568.290.43
GREENType=Traditional2023.037.2317.050.69
EfficientPhysMethods Type=Learning-based, Clip Duration=2s2025.069.0316.950.38
Contrast-PhysMethods Type=Learning-based, Clip Duration=2s2025.0612.6513.030.41
Gideon2021Methods Type=Learning-based, Clip Duration=2s2025.0612.8817.040.39
POSMethods Type=Non-learning, Clip Duration=2s2025.0615.7322.330.35
CHROMMethods Type=Non-learning, Clip Duration=2s2025.0616.6822.990.32