Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation
Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation
It is a strong prerequisite to access source data freely in many existing unsupervised domain adaptation approaches. However, source data is agnostic in many practical scenarios due to the constraints of expensive data transmission and data privacy protection. Usually, the given source domain pre-trained model is expected to optimize with …