AI RESEARCH
Intervention-Based Self-Supervised Learning: A Causal Probe Paradigm for Remote Photoplethysmography
arXiv CS.CV
•
ArXi:2605.00882v1 Announce Type: new Remote Photoplethysmography (rPPG) enables convenient non-contact physiological measurement. Existing Self-Supervised Learning (SSL) methods commonly fall into a correlation trap: they tend to learn the most dominant periodic signals in the data, such as high-energy motion or illumination noise, rather than the faint, true rPPG signal, leading to poor model generalization.