REB: Reducing Biases in Representation for Industrial Anomaly Detection

24 August 2023

Papers citing "REB: Reducing Biases in Representation for Industrial Anomaly Detection"

9 / 9 papers shown

Title
A Survey on Foundation-Model-Based Industrial Defect Detection Tianle Yang Luyao Chang Jiadong Yan J. Li Zhi Wang Ke Zhang AI4CE 76 2 0 26 Feb 2025
A Survey on Industrial Anomalies Synthesis Xichen Xu Yanshu Wang Yawen Huang Jiaqi Liu Xiaoning Lei Guoyang Xie Guannan Jiang Zhichao Lu 52 1 0 23 Feb 2025
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection Yun Peng Xiao Lin Nachuan Ma Jiayuan Du Chuangwei Liu Chengju Liu Qi Chen 42 3 0 17 Feb 2025
MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context Shuai Lyu Fangjian Liao Zeqi Ma Rongchen Zhang Dongmei Mo W. Wong 76 0 0 22 Dec 2024
Dual-path Frequency Discriminators for Few-shot Anomaly Detection Yuhu Bai Jiangning Zhang Yuhang Dong Guanzhong Tian Liang Liu Yunkang Cao Yabiao Wang Chengjie Wang 34 2 0 07 Mar 2024
SimpleNet: A Simple Network for Image Anomaly Detection and Localization Zhikang Liu Yiming Zhou Yuansheng Xu Zilei Wang 68 229 0 27 Mar 2023
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection Marco Rudolph Tom Wehrbein Bodo Rosenhahn Bastian Wandt UQCV 73 206 0 06 Oct 2021
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization Hannah M. Schlüter Jeremy Tan Benjamin Hou Bernhard Kainz 118 128 0 30 Sep 2021
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization P. Mishra Riccardo Verk Daniele Fornasier C. Piciarelli G. Foresti ViT 78 284 0 20 Apr 2021