Pulse Rate Estimation on VIPL-HR benchmark leaderboard · SOTA2 Research

Pulse Rate Estimation on VIPL-HR

3.53MAE (BPM)MeshPhys

Evaluation Results

Method
MeshPhys2026.01	3.53	6.82	0.84
FreqPhys2026.04	3.79	6.34	0.86
PhysDiff2026.04	3.92	6.65	0.85
RhythmGaussian2026.01	4.22	7.12	0.92
PhysLLM2026.04	4.24	6.81	—
CodePhys2026.01	4.27	7.11	0.81
CodePhys2026.04	4.27	7.11	0.81
RhythmMamba2026.01	4.3	7.49	0.81
RhythmMamba2026.04	4.3	7.49	0.81
Proposed (WMST + Wavelet-aware contrastive learning)2026.03	4.32	7.26	0.86
Dual-TL2026.01	4.36	6.92	0.69
RS+rPPG2026.03	4.4	7.19	0.79
RhythmFormer2026.01	4.51	7.98	0.78
rPPG-MAE2026.01	4.52	7.49	0.81
PhysGCN2026.01	4.7	7.44	0.82
NEST2026.01	4.76	7.51	0.84
PhysFormer++2026.01	4.88	7.62	0.8
Dual-GAN2026.01	4.93	7.68	0.81
Dual-GAN2026.04	4.93	7.68	0.81
PhysFormer2026.01	4.97	7.79	0.78
PhysFormer2026.04	4.97	7.79	0.78
Li et al.2026.04	4.97	7.79	0.78
CVD2026.01	5.02	7.97	0.79
CVD2026.04	5.02	7.97	0.79
NAS-HR2026.01	5.12	8.01	0.79
Li et al.2026.03	5.19	8.26	0.78
RhythmNet2026.01	5.3	8.14	0.76
BVPNet2026.01	5.34	7.85	0.7
RS-rPPG.2026.03	5.98	10.5	0.56
SSPD2026.03	6.04	9.56	0.59
GraphPhys2026.01	6.69	9.7	0.48
Greip et al.2026.03	7.35	9.7	0.55
Gideon et al.2026.04	9.01	14.02	0.58
PhysNet2026.01	10.8	14.8	0.2
PhysNet2026.04	10.8	14.8	0.2
DeepPhys2026.01	11	13.8	0.11
DeepPhys2026.04	11	13.8	0.72
CHROM2026.04	11.4	16.9	0.28
CHROM2026.01	11.44	16.97	0.28
POS2026.01	11.5	17.2	0.3
Contrast-Phys2026.03	17.8	22.8	0.17
Contrast-Phys2026.04	32.1	36.1	0.04