Pseudo Label

Pseudo Label is a lightweight yet powerful semi-supervised learning technique that involves generating pseudo labels from unlabeled data and combining them with a small amount of real labeled data to train the model. This approach helps improve the model's generalization ability and data utilization, making it suitable for scenarios where the cost of data annotation is high or labeled data is scarce.