A 14.86k-parameter spectral attention model combining Chirp-Z zoom and unsupervised contrastive learning reaches near state-of-the-art cross-dataset heart rate accuracy under motion.
Implicit neural models to extract heart rate from video
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BeatFormer: Efficient motion-robust remote heart rate estimation through unsupervised spectral zoomed attention filters
A 14.86k-parameter spectral attention model combining Chirp-Z zoom and unsupervised contrastive learning reaches near state-of-the-art cross-dataset heart rate accuracy under motion.