ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization
A semi-supervised learning framework that leverages the consistency regularization between the model’s predictions from two strongly-augmented views of an image, weighted by a confidence of pseudo-labels.
November 27, 2022 ·
1 min read
This paper was presented at the 2022 European Conference on Computer Vision.
