Sub-Image Anomaly Detection with Deep Pyramid Correspondences

5 May 2020

Papers citing "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"

14 / 64 papers shown

Title
KRNet: Towards Efficient Knowledge Replay Yingying Zhang Qiaoyong Zhong Di Xie Shi Pu CLL 20 0 0 23 May 2022
Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection Muhao Xu Xueying Zhou Xizhan Gao Wei-Xiong He Sijie Niu 21 7 0 23 Apr 2022
Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors Paul Bergmann David Sattlegger 3DPC 30 57 0 23 Feb 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 114 448 0 26 Jan 2022
Data Invariants to Understand Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 27 6 0 26 Nov 2021
AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning J. Song Kyeongbo Kong Ye In Park Seonggyun Kim Suk-Ju Kang 23 46 0 07 Oct 2021
A Multi-Scale A Contrario method for Unsupervised Image Anomaly Detection Matías Tailanián Pablo Musé Álvaro Pardo 37 8 0 05 Oct 2021
Visual Anomaly Detection for Images: A Survey Jie Yang Rui Xu Zhiquan Qi Yong Shi 25 35 0 27 Sep 2021
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations Oliver Rippel Arnav Chavan Chucai Lei Dorit Merhof 41 18 0 09 Aug 2021
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection Jinlei Hou Yingying Zhang Qiaoyong Zhong Di Xie Shiliang Pu Hong Zhou 27 142 0 28 Jul 2021
Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection Pierre Gutierrez Antoine Cordier Thais Caldeira Théophile Sautory 18 4 0 02 Jun 2021
Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation Jin-Hwa Kim Do-Hyeong Kim Saehoon Yi Taehoon Lee 24 53 0 31 May 2021
Student-Teacher Feature Pyramid Matching for Anomaly Detection Guodong Wang Shumin Han Errui Ding Di Huang 23 214 0 07 Mar 2021
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection Oliver Rippel Patrick Mertens Dorit Merhof 27 236 0 28 May 2020