DongEon Jeong

Simple and Effective Out-of-Distribution Detection via Cosine-based Softmax Loss

Deep learning models need to detect out-of-distribution (OOD) data in the inference stage because they are trained to estimate the train distribution and infer the data sampled from the distribution. Many methods have been proposed, but they have some limitations, such as requiring additional data,…