Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection

28 May 2020

Papers citing "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection"

25 / 25 papers shown

Title
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection Bin-Bin Gao Yue Zhu Jiangtao Yan Y. Cai W. Zhang Meng Wang Jun Liu Y. Liu L. Wang Chengjie Wang VLM 38 0 0 15 May 2025
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning Bin-Bin Gao VLM 22 0 0 14 May 2025
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt Bin-Bin Gao 31 4 0 14 May 2025
Unsupervised Anomaly Detection for Autonomous Robots via Mahalanobis SVDD with Audio-IMU Fusion Yizhuo Yang Jiulin Zhao Xinhang Xu Kun Cao Shenghai Yuan Lihua Xie 29 0 0 09 May 2025
Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection Wenbing Zhu Lidong Wang Ziqing Zhou Chengjie Wang Yurui Pan ... Yulong Chen Shuguang Qian M. Chi Bo Peng Lizhuang Ma 26 0 0 19 Apr 2025
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila 37 1 0 04 Jul 2024
Continual Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 33 0 0 04 Jun 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
Set Features for Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen 29 0 0 24 Nov 2023
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection Jaemin Yoo Lingxiao Zhao L. Akoglu 30 4 0 21 Jun 2023
Component-aware anomaly detection framework for adjustable and logical industrial visual inspection Tongkun Liu Bing Li Xiao Du Bingke Jiang Xiao Jin Liuyi Jin Zhu Zhao 26 27 0 15 May 2023
Unsupervised out-of-distribution detection for safer robotically guided retinal microsurgery Alain Jungo Lars Doorenbos Tommaso Da Col Maarten J. Beelen M. Zinkernagel Pablo Márquez-Neila Raphael Sznitman OODD 25 3 0 11 Apr 2023
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection Xuan Zhang Shiyu Li Xi Li Ping-Chia Huang Jiulong Shan Ting Chen 16 126 0 21 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
Learning Invariant Representation and Risk Minimized for Unsupervised Accent Domain Adaptation Chendong Zhao Jianzong Wang Xiaoyang Qu Haoqian Wang Jing Xiao SSL 30 1 0 15 Oct 2022
Learning image representations for anomaly detection: application to discovery of histological alterations in drug development I. Zingman B. Stierstorfer C. Lempp Fabian Heinemann OOD MedIm 27 11 0 14 Oct 2022
Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly Detection Peng-Fei Xing Yanpeng Sun Zechao Li 25 12 0 26 Sep 2022
DSR -- A dual subspace re-projection network for surface anomaly detection Vitjan Zavrtanik Matej Kristan D. Skočaj 10 103 0 02 Aug 2022
Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography Yaojia Zheng Zhouwu Liu Rong Mo Ziyi Chen Weiqiao Zheng Ruixuan Wang 32 10 0 04 Jul 2022
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection Mohamed Yousef Marcel R. Ackermann Unmesh Kurup Tom E. Bishop OODD OOD 26 3 0 19 Mar 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 108 448 0 26 Jan 2022
Data Invariants to Understand Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 21 6 0 26 Nov 2021
Transfer Learning Gaussian Anomaly Detection by Fine-tuning Representations Oliver Rippel Arnav Chavan Chucai Lei Dorit Merhof 38 18 0 09 Aug 2021
Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection Pierre Gutierrez Antoine Cordier Thais Caldeira Théophile Sautory 13 4 0 02 Jun 2021
Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation Jin-Hwa Kim Do-Hyeong Kim Saehoon Yi Taehoon Lee 18 53 0 31 May 2021