Search Results for author:
Found 1 papers, 0 papers with code
Cluster-aware Contrastive Learning for Unsupervised Out-of-distribution Detection
Based on the classic contrastive learning, we propose Cluster-aware Contrastive Learning (CCL) framework for unsupervised OOD detection, which considers both instance-level and semantic-level information.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
