Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning.
Guan GuiZhen ZhaoLei QiLuping ZhouLei WangYinghuan ShiPublished in: ICCV (2023)
Keyphrases
- semi supervised learning
- semi supervised
- labeled samples
- unlabeled data
- labeled data
- active learning
- machine learning
- semi supervised classification
- supervised learning
- unsupervised learning
- training data
- unlabeled samples
- learning problems
- domain adaptation
- sample size
- co training
- label propagation
- improve the classification accuracy
- multi view learning
- labeled training data
- learning models
- feature extraction
- feature selection