ELOC (1) 썸네일형 리스트형 [논문리뷰] Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy 논문링크 : https://arxiv.org/abs/1908.04951 Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy Since deep learning models have been implemented in many commercial applications, it is important to detect out-of-distribution (OOD) inputs correctly to maintain the performance of the models, ensure the quality of the collected data, and prevent the appl arxiv.org 해당 논문은 ID데이터만을.. 이전 1 다음
