Shaun Canavan*

FlowCon: Out-of-Distribution Detection using Flow-based Contrastive Learning

"Identifying Out-of-distribution (OOD) data is becoming increasingly critical as the real-world applications of deep learning methods expand. Post-hoc methods modify softmax scores fine-tuned on outlier data or leverage intermediate feature layers to identify distinctive patterns between In-Distribu…