Dongliang Peng

Multi-Augmentation-Based Contrastive Learning for Semi-Supervised Learning

2024 · Algorithms

Semi-supervised learning has been proven to be effective in utilizing unlabeled samples to mitigate the problem of limited labeled data. Traditional semi-supervised learning methods generate pseudo-labels for unlabeled samples and train the classifier using both …