Seunggi Park

Not All Classes Stand on Same Embeddings: Calibrating a Semantic Distance with Metric Tensor

The consistency training (CT)-based semi-supervised learning (SSL) bites state-of-the-art performance on SSL-based image classification. However the existing CT-based SSL methods do not highlight the non-Euclidean characteristics and class-wise varieties of embedding spaces in an SSL model thus they…