Oe (3) 썸네일형 리스트형 [논문리뷰] Semantically Coherent Out-of-Distribution Detection 논문 링크 : https://arxiv.org/abs/2108.11941 Semantically Coherent Out-of-Distribution Detection Current out-of-distribution (OOD) detection benchmarks are commonly built by defining one dataset as in-distribution (ID) and all others as OOD. However, these benchmarks unfortunately introduce some unwanted and impractical goals, e.g., to perfectly disti arxiv.org 해당 논문은 기존의 Out-of-Distribution Detecti.. [논문리뷰]An Effective Baseline for Robustness to Distributional Shift 논문 링크 : https://arxiv.org/abs/2105.07107 An Effective Baseline for Robustness to Distributional Shift Refraining from confidently predicting when faced with categories of inputs different from those seen during training is an important requirement for the safe deployment of deep learning systems. While simple to state, this has been a particularly challeng arxiv.org 해당 논문은 OOD detection 방법 중 사전의.. [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.. 이전 1 다음
