Anomaly Localization

Anomaly localization aims to pinpoint atypical regions within data, such as defects in manufactured goods or lesions in medical images. Current research heavily utilizes deep learning, focusing on autoencoders, transformers, and generative models to learn normal patterns and identify deviations, often employing techniques like reconstruction error analysis, score matching, and knowledge distillation. This field is crucial for various applications, including industrial quality control, medical diagnosis, and security systems, offering the potential for improved efficiency, accuracy, and safety.

Papers

June 15, 2023

2nd Place Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection
Yunkang Cao, Xiaohao Xu, Chen Sun, Yuqi Cheng, Liang Gao, Weiming Shen
Anomaly Detection Solution Path Novelty Detection Anomaly Localization Anomaly Segmentation Zero Shot Anomaly Multimodal Prompting

May 4, 2023

Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion
Nicholas Konz, Haoyu Dong, Maciej A. Mazurowski
Anomaly Localization Image Completion Model Completion Digital Breast Tomosynthesis

February 17, 2023

Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
Yunkang Cao, Xiaohao Xu, Zhaoge Liu, Weiming Shen
Margin Maximization Anomaly Localization Feature Distribution Discrepancy Aware

January 23, 2023

Adapting the Hypersphere Loss Function from Anomaly Detection to Anomaly Segmentation
Joao P. C. Bertoldo, Santiago Velasco-Forero, Jesus Angulo, Etienne Decencière
Anomaly Detection Anomaly Localization Anomaly Segmentation MVTec Anomaly Detection Anomaly Aware Semantic Segmentation

December 12, 2022

Multi-scale Feature Imitation for Unsupervised Anomaly Localization
Chao Hu, Shengxin Lai
Feature Imitation Anomaly Localization Anomaly Sample

October 27, 2022

Masked Transformer for image Anomaly Localization
Axel De Nardin, Pankaj Mishra, Gian Luca Foresti, Claudio Piciarelli
Image Reconstruction Anomaly Localization Image Anomaly Detection Anomaly Detection Datasets Patch Masking Masked Transformer

September 29, 2022

Anomaly localization for copy detection patterns through print estimations
Brian Pulfer, Yury Belousov, Joakim Tutt, Roman Chaban, Olga Taran, Taras Holotyak, Slava Voloshynovskiy
Estimation Task Anomaly Localization Deep Fake Detection Traditional Authentication System Copy Detection Pattern

August 23, 2022

Unsupervised Anomaly Localization with Structural Feature-Autoencoders
Felix Meissen, Johannes Paetzold, Georgios Kaissis, Daniel Rueckert
Unsupervised Anomaly Detection Autoencoder Model Anomaly Localization Feature Mapping Similarity Loss

August 2, 2022

DSR -- A dual subspace re-projection network for surface anomaly detection
Vitjan Zavrtanik, Matej Kristan, Danijel Skočaj
Anomaly Detection Anomaly Localization Surface Anomaly Detection Projection Domain

July 21, 2022

Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey
Xian Tao, Xinyi Gong, Xin Zhang, Shaohua Yan, Chandranath Adak
Deep Learning Timely Survey Industrial Anomaly Detection Anomaly Localization Quality Inspection Industrial Image

July 20, 2022

Unsupervised Industrial Anomaly Detection via Pattern Generative and Contrastive Networks
Jianfeng Huang, Chenyang Li, Yimin Lin, Shiguo Lian
Contrastive Learning Anomaly Detection Industrial Anomaly Detection Anomaly Localization Unsupervised Detection General Anomaly Enhancement Network

June 9, 2022

CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization
Sungwook Lee, Seunghyun Lee, Byung Cheol Song
Anomaly Detection Anomaly Localization Feature Adaptation

June 8, 2022

A Unified Model for Multi-class Anomaly Detection
Zhiyuan You, Lei Cui, Yujun Shen, Kai Yang, Xin Lu, Yu Zheng, Xinyi Le
Anomaly Detection Unsupervised Anomaly Detection Convolution Layer Reconstruction Network Anomaly Localization Multi Class Anomaly Detection

May 13, 2022

Self-Supervised Masking for Unsupervised Anomaly Detection and Localization
Chaoqin Huang, Qinwei Xu, Yanfeng Wang, Yu Wang, Ya Zhang
Localization Focus Unsupervised Anomaly Detection Anomaly Localization Mask Prediction Random Masking

April 23, 2022

Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection
Muhao Xu, Xueying Zhou, Xizhan Gao, WeiKai He, Sijie Niu
Anomaly Detection Discriminative Feature Anomaly Localization Medical Anomaly Detection

March 21, 2022

AnoViT: Unsupervised Anomaly Detection and Localization with Vision Transformer-based Encoder-Decoder
Yunseung Lee, Pilsung Kang
Vision Paper Localization Focus Unsupervised Anomaly Detection Encoder Decoder Anomaly Localization Image Anomaly Detection Encoder Decoder Transformer

March 3, 2022

Constrained unsupervised anomaly segmentation
Julio Silva-Rodríguez, Valery Naranjo, Jose Dolz
Participation Constraint Anomaly Localization Anomaly Segmentation Anomalous Image Brain Lesion

February 8, 2022

On the Pitfalls of Using the Residual Error as Anomaly Score
Felix Meissen, Benedikt Wiestler, Georgios Kaissis, Daniel Rueckert
Common Pitfall Anomaly Score Anomaly Localization Residual Image Anomalous Image Reconstruction Error Residual Error

December 12, 2021

DeepFIB: Self-Imputation for Time Series Anomaly Detection
Minhao Liu, Zhijian Xu, Qiang Xu
Anomaly Detection Anomaly Localization Imputation Task

November 29, 2021

Anomaly Localization in Model Gradients Under Backdoor Attacks Against Federated Learning
Zeki Bilgin
Backdoor Attack Anomaly Localization Model Gradient