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Model

PALC-Net

physiology-aware lightweight contrastive network for unsupervised rPPG

RGBIEEE Sensors Journal 2026, DOI 10.1109/JSE
Cite
Venue listedCatalog paper date: 2026Source
CitationsView DOI record (opens in a new tab)

Activity counts measure attention, not model quality. Missing counts are unknown. Publication status follows the linked source; a listed venue alone does not confirm peer review.

PALC-Net is a lightweight, physiology-aware contrastive network for unsupervised remote photoplethysmography, published in IEEE Sensors Journal 2026 (DOI 10.1109/JSEN.2026.3738440). Public abstract text and official code were not reachable when this entry was prepared, so architecture details and results are omitted here.

Signals
RGB
Form factor
camera_rppg
License
IEEE copyright
Year
2026
Architecture

physiology-aware lightweight contrastive network for unsupervised rPPG

At a glance
Type
Task model
Modalities
RGB
Form factor
Camera rPPG
Parameters
Not reported
Architecture
physiology-aware lightweight contrastive network for unsupervised rPPG
Venue
IEEE Sensors Journal 2026, DOI 10.1109/JSEN.2026.3738440
Year
2026
arXiv
Not reported
DOI
10.1109/JSEN.2026.3738440 (opens in a new tab)
Code
Not reported
Weights
Not reported
Licence
IEEE copyright
Caveats
Not reported
Datasets
Not reported
Added
Not reported
Updated
Oct 27, 2026
PALC-Net: ChatPPG research summary card

How it works

How PALC-Net works: Input signals → Model → Downstream tasksInput signals: RGB. Model: PALC-Net (Contrastive learning).Input signalsRGBRGBModelPALC-NetContrastive learning
Architecture
physiology-aware lightweight contrastive network for unsupervised rPPG
Inputs
RGB
Approach
rppg · model · unsupervised · contrastive · lightweight · edge

Datasets

No public datasets linked yet.

Cite

APA

PALC-Net. (2026). IEEE Sensors Journal 2026, DOI 10.1109/JSEN.2026.3738440. https://doi.org/10.1109/JSEN.2026.3738440

BibTeX

@article{palcnet2026palcnet,
  title         = {{PALC-Net}},
  year          = {2026},
  journal       = {IEEE Sensors Journal 2026, DOI 10.1109/JSEN.2026.3738440},
  doi           = {10.1109/JSEN.2026.3738440}
}

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History

  1. Record updated

Same tasks, data and authors