A self-supervised learning method aiming to alleviate the inherent false-negative problem in contrastive learning framework. read more of Adaptive Soft Contrastive Learning

A self-supervised pre-training method with focus on alleviating class collision problem using a cross-context learning scheme. read more of Self-Supervised Representation Learning with Cross-Context Learning between Global and Hypercolumn Features

A holistic learning framework for Novel Class Discovery (NCD), which adopts contrastive learning to learn discriminate features with both the labeled and unlabeled data. The Neighborhood Contrastive Learning (NCL) framework effectively leverages the local... read more of Neighborhood Contrastive Learning for Novel Class Discovery