2025
SemiVisBooster: Boosting Semi-Supervised Learning for Fine-Grained Classification through Pseudo-Label Semantic Guidance
ICCV 2025poster
Deep learning models rely on large-scale labeled datasets, but collecting such data is expensive and time-consuming. Semi-supervised learning (SSL) mitigates this issue by learning from a small set of labeled samples along with a large pool of unlabeled data. However, existing SSL methods struggle w…