Exploiting Inter-Sample Information for Long-tailed Out-of-Distribution Detection

Nimeshika Udayangani, Hadi M. Dolatabadi, Sarah Erfani +1

Detecting out-of-distribution (OOD) data is essential for safe deployment of deep neural networks (DNNs). This problem becomes particularly challenging in the presence of long-tail…