FixMatch
FixMatch
FixMatch is an algorithm that first generates pseudo-labels using the model's predictions on weakly-augmented unlabeled images. For a given image, the pseudo-label is only retained if the model produces a high-confidence prediction. The model is then trained to predict the pseudo-label when fed a strongly-augmented version of the same image.

Description from: [FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence](https://paperswithcode.com/paper/fixmatch-simplifying-semi-supervised-learning)

Image credit:  [FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence](https://paperswithcode.com/paper/fixmatch-simplifying-semi-supervised-learning)
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
https://paperswithcode.com/paper/fixmatch-simplifying-semi-supervised-learning
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence