Out-of-Distribution (2) 썸네일형 리스트형 [논문리뷰] Background Data Resampling for Outlier-Aware Classification 논문 링크 : https://openaccess.thecvf.com/content_CVPR_2020/html/Li_Background_Data_Resampling_for_Outlier-Aware_Classification_CVPR_2020_paper.html CVPR 2020 Open Access Repository Yi Li, Nuno Vasconcelos; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, pp. 13218-13227 The problem of learning an image classifier that allows detection of out-of-distrib.. [Survey] OOD(out-of-distribution) Detection 개념 분류 최근 OOD detection을 연구하면서, 해당 task와 유사한 다양한 task와 혼동되는 정의 및 활용을 명확히 정리하기 글을 쓰게 되었다. 아래의 링크는 정리를 위해 참고한 survey 논문이다. https://arxiv.org/abs/2110.11334 Generalized Out-of-Distribution Detection: A Survey Out-of-distribution (OOD) detection is critical to ensuring the reliability and safety of machine learning systems. For instance, in autonomous driving, we would like the driving system to issue an a.. 이전 1 다음
