v1v2 (latest)

Understanding normalization in contrastive representation learning and out-of-distribution detection

23 December 2023

Papers citing "Understanding normalization in contrastive representation learning and out-of-distribution detection"

20 / 20 papers shown

Title
Mahalanobis++: Improving OOD Detection via Feature Normalization Maximilian Mueller Matthias Hein OODD 122 1 0 23 May 2025
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images Xurui Li Ziming Huang Feng Xue Yu Zhou 103 23 0 30 Jan 2024
SimpleNet: A Simple Network for Image Anomaly Detection and Localization Zhikang Liu Yiming Zhou Yuansheng Xu Zilei Wang 133 258 0 27 Mar 2023
Transformaly -- Two (Feature Spaces) Are Better Than One M. Cohen S. Avidan ViT 78 29 0 08 Dec 2021
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization Hannah M. Schlüter Jeremy Tan Benjamin Hou Bernhard Kainz 204 139 0 30 Sep 2021
Towards Total Recall in Industrial Anomaly Detection Karsten Roth Latha Pemula J. Zepeda Bernhard Schölkopf Thomas Brox Peter V. Gehler UQCV 91 926 0 15 Jun 2021
MagFace: A Universal Representation for Face Recognition and Quality Assessment Qiang Meng Shichao Zhao Zhida Huang F. Zhou CVBM 88 491 0 11 Mar 2021
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation Tal Reiss Niv Cohen Liron Bergman Yedid Hoshen 80 252 0 12 Oct 2020
Deep Nearest Neighbor Anomaly Detection Liron Bergman Niv Cohen Yedid Hoshen UQCV 105 160 0 24 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 398 18,913 0 13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 216 12,146 0 13 Nov 2019
Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark Ke Li G. Wan Gong Cheng L. Meng Junwei Han 79 1,463 0 31 Aug 2019
Detecting semantic anomalies Faruk Ahmed Aaron Courville 83 84 0 13 Aug 2019
Deep Semi-Supervised Anomaly Detection Lukas Ruff Robert A. Vandermeulen Nico Görnitz Alexander Binder Emmanuel Müller K. Müller Marius Kloft UQCV 61 548 0 06 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views Philip Bachman R. Devon Hjelm William Buchwalter SSL 195 1,481 0 03 Jun 2019
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 185 1,487 0 11 Dec 2018
Deep Anomaly Detection Using Geometric Transformations I. Golan Ran El-Yaniv 111 607 0 28 May 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 267 3,303 0 21 Mar 2018
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 469 43,357 0 11 Feb 2015
Describing Textures in the Wild Mircea Cimpoi Subhransu Maji Iasonas Kokkinos S. Mohamed Andrea Vedaldi 3DV 156 2,695 0 14 Nov 2013