Zerun Wang*

SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning

"Open-set semi-supervised learning (OSSL) leverages practical open-set unlabeled data, comprising both in-distribution (ID) samples from seen classes and out-of-distribution (OOD) samples from unseen classes, for semi-supervised learning (SSL). Prior OSSL methods initially learned the decision bound…