MACHINE LEARNING

CowMask — Data Augmentation for Self-Supervised Models

Google Research recently published CowMask — a new SOTA masking-based augmentation method. The method allows training more stable self-supervised models.

CowMask — Data Augmentation for Self-Supervised Models
CowMask — Data Augmentation for Self-Supervised Models
CowMask — Data Augmentation for Self-Supervised Models. Source: Arxiv
CowMask results on CIFAR-100 test set, error rates as mean ± stdev of 5 independent runs. Source: Arxiv
CowMask results on CIFAR-100 test set, error rates as mean ± stdev of 5 independent runs. Source: Arxiv
Results on CIFAR-100 test set, error rates as mean ± stdev of 5 independent runs. Source: Arxiv

Consistency in semi-supervised training

How CowMask works

CowMask generation algorithm
CowMask generation algorithm
CowMask generation algorithm. Source: Arxiv

Original Paper

Interested in Deep Learning?

Bioinformatician at Oncobox Inc. (@oncobox). Research Associate at Moscow Institute of Physics and Technology (@mipt_eng).

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store