Noise2Self: Blind Denoising by Self-Supervision Joshua Batson Loïc Royer
Noisy Data
Supervision
Supervision
Supervision
Self-Supervision?
Self-Supervision?
Self-Supervision?
Self-Supervision?
Self-Supervision?
Self-Supervision?
Self-Supervision?
Self-Supervision?
Self-Supervision?
Single-Image Self-Supervised CNN Training
Single-Image Self-Supervised CNN Training
Single-Image Self-Supervised CNN Training
J-invariant Deep CNN
J-invariant Deep CNN
Plus... Definitions Gaussian Processes Matrix Factorization Theorems Code Single-Cell Sequencing for i, batch in enumerate(data_loader): optimal noisy_images = batch input, mask = masker.mask(noisy_images, i) output = model(input) erythroid cells loss = loss_function(output*mask, noisy_images*mask) stem cells myeloid cells poster #118 0 4 Mpo Gene github.com/czbiohub/noise2self
noisy noisy donut
r=1 r=2 r=3 r=4 r=5 noisy noisy donut
r=1 r=2 r=3 r=4 r=5 noisy noisy self-supervised donut MSE ground truth r=5 Radius of median filter
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