Yujun Zeng

Patch-Mixing Contrastive Regularization for Few-Label Semi-Supervised Learning

2023 · IEEE Transactions on Artificial Intelligence

Recently, consistency regularization has become a fundamental component in semi-supervised learning, which tries to make the network's predictions on unlabeled data to be invariant to perturbations. However, its performance decreases drastically when there are scarce …