Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

5 July 2018

Papers citing "Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders"

26 / 76 papers shown

Title
Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection Muhao Xu Xueying Zhou Xizhan Gao Wei-Xiong He Sijie Niu 29 7 0 23 Apr 2022
Constrained unsupervised anomaly segmentation Julio Silva-Rodríguez Valery Naranjo Jose Dolz 18 23 0 03 Mar 2022
Data refinement for fully unsupervised visual inspection using pre-trained networks Antoine Cordier Benjamin Missaoui Pierre Gutierrez 37 5 0 25 Feb 2022
Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors Paul Bergmann David Sattlegger 3DPC 38 58 0 23 Feb 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 123 449 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
A Multi-Scale A Contrario method for Unsupervised Image Anomaly Detection Matías Tailanián Pablo Musé Álvaro Pardo 39 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
Looking at the whole picture: constrained unsupervised anomaly segmentation Julio Silva-Rodríguez Valery Naranjo Jose Dolz 27 5 0 01 Sep 2021
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations Oliver Rippel Arnav Chavan Chucai Lei Dorit Merhof 49 18 0 09 Aug 2021
Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules Urtzi Otamendi Iñigo Martinez M. Quartulli Igor García Olaizola E. Viles W. Cambarau 29 48 0 21 Jun 2021
Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection Pierre Gutierrez Antoine Cordier Thais Caldeira Théophile Sautory 20 4 0 02 Jun 2021
Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation Jin-Hwa Kim Do-Hyeong Kim Saehoon Yi Taehoon Lee 26 53 0 31 May 2021
Autoencoding Under Normalization Constraints Sangwoong Yoon Yung-Kyun Noh Frank C. Park OODD UQCV 27 38 0 12 May 2021
Inpainting Transformer for Anomaly Detection Jonathan Pirnay K. Chai ViT 107 165 0 28 Apr 2021
Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation Francesco Galati Maria A. Zuluaga 11 15 0 12 Apr 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization Chun-Liang Li Kihyuk Sohn Jinsung Yoon Tomas Pfister SSL UQCV 29 756 0 08 Apr 2021
Unsupervised Two-Stage Anomaly Detection Yunfei Liu Chaoqun Zhuang Feng Lu 39 29 0 22 Mar 2021
Student-Teacher Feature Pyramid Matching for Anomaly Detection Guodong Wang Shumin Han Errui Ding Di Huang 23 214 0 07 Mar 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen Yu Tian Guansong Pang G. Carneiro VLM 30 96 0 25 Jan 2021
Improved anomaly detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noise Anne-Sophie Collin Christophe De Vleeschouwer 29 85 0 29 Aug 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation Jihun Yi Sungroh Yoon 42 383 0 29 Jun 2020
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
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection Mohammadreza Salehi Atrin Arya Barbod Pajoum Mohammad Otoofi Amirreza Shaeiri M. Rohban Hamid R. Rabiee AAML 29 62 0 12 Mar 2020
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes with Applications to Anomaly Detection William Paul I-J. Wang F. Alajaji Philippe Burlina DiffM DRL 21 6 0 25 Feb 2020
Attention Guided Anomaly Localization in Images Shashanka Venkataramanan Kuan-Chuan Peng Rajat Vikram Singh Abhijit Mahalanobis 27 22 0 19 Nov 2019