Multi-Augmentation-Based Contrastive Learning for Semi-Supervised Learning
J Wang, J Yang, J He, D Peng - Algorithms, 2024 - mdpi.com
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 …
mitigate the problem of limited labeled data. Traditional semi-supervised learning methods …