Transductive Clip with Class-Conditional Contrastive Learning
Transductive Clip with Class-Conditional Contrastive Learning
Inspired by the remarkable zero-shot generalization capacity of vision-language pre-trained model, we seek to leverage the supervision from CLIP model to alleviate the burden of data labeling. However, such supervision inevitably contains the label noise, which significantly degrades the discriminative power of the classification model. In this work, we propose …