DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation

DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation

13 December 2020

Jie Yang

Papers citing "DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation"

8 / 8 papers shown

Title
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection Jia Guo Shuai Lu Weihang Zhang Huiqi Li Huiqi Li Hongen Liao ViT 61 7 0 23 May 2024
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping Alex Costanzino Pierluigi Zama Ramirez Giuseppe Lisanti Luigi Di Stefano 19 10 0 07 Dec 2023
Noise-to-Norm Reconstruction for Industrial Anomaly Detection and Localization Shiqi Deng Zhiyu Sun Ruiyan Zhuang Jun Gong 39 5 0 06 Jul 2023
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction Zilong Zhang Zhibin Zhao Xingwu Zhang Chuang Sun Xuefeng Chen 19 47 0 05 Apr 2023
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold Matías Tailanián Álvaro Pardo Pablo Musé 30 17 0 22 Nov 2022
Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detection Tongkun Liu Bing Li Zhu Zhao Xiaoyu Du Bin Jiang Leqi Geng 28 35 0 26 Oct 2022
A Multi-Scale A Contrario method for Unsupervised Image Anomaly Detection Matías Tailanián Pablo Musé Álvaro Pardo 29 8 0 05 Oct 2021
Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection Pierre Gutierrez Antoine Cordier Thais Caldeira Théophile Sautory 15 4 0 02 Jun 2021