Title
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization Qiyu Chen Huiyuan Luo Chengkan Lv Zhengtao Zhang 96 22 0 12 Jul 2024
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection Hang Yao Ming-Yu Liu Haolin Wang Zhicun Yin Zifei Yan Xiaopeng Hong W. Zuo 109 20 0 11 Jun 2024
AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion Jie Hu Yawen Huang Yilin Lu Guoyang Xie Guannan Jiang Yefeng Zheng Zhichao Lu DiffM 94 9 0 30 Apr 2024
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection Haoyang He Yuhu Bai Jiangning Zhang Qingdong He Hongxu Chen Zhenye Gan Chengjie Wang Xiangtai Li Guanzhong Tian Lei Xie Mamba 121 42 0 09 Apr 2024
PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection Xiaofan Li Zhizhong Zhang Xin Tan Chengwei Chen Yanyun Qu Yuan Xie Lizhuang Ma VLM 103 39 0 08 Apr 2024
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection Liren He Zhengkai Jiang Jinlong Peng Liang Liu Qiangang Du Xiaobin Hu Wenbing Zhu Mingmin Chi Yabiao Wang Chengjie Wang 59 10 0 18 Mar 2024
Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt Jiaqi Liu Kai Wu Qiang Nie Ying Chen Bin-Bin Gao Yong-Jin Liu Jinbao Wang Chengjie Wang Feng Zheng CLL 57 19 0 02 Jan 2024
An Incremental Unified Framework for Small Defect Inspection Jiaqi Tang Hao Lu Xiaogang Xu Ruizheng Wu Sixing Hu Tong Zhang Tsz Wa Cheng Ming Ge Ying-Cong Chen Fugee Tsung 76 6 0 14 Dec 2023
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model Teng Hu Jiangning Zhang Ran Yi Yuzhen Du Xu Chen Liang Liu Yabiao Wang Chengjie Wang 114 76 0 10 Dec 2023
TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection Matic Fucka Vitjan Zavrtanik D. Skočaj MedIm DiffM 80 13 0 16 Nov 2023
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Lei Huang Weijiang Yu Weitao Ma Weihong Zhong Zhangyin Feng ... Qianglong Chen Weihua Peng Xiaocheng Feng Bing Qin Ting Liu LRM HILM 126 868 0 09 Nov 2023
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection Ruiying Lu YuJie Wu Long Tian Dongsheng Wang Bo Chen Xiyang Liu Ruimin Hu 79 42 0 22 Oct 2023
SimpleNet: A Simple Network for Image Anomaly Detection and Localization Zhikang Liu Yiming Zhou Yuansheng Xu Zilei Wang 113 252 0 27 Mar 2023
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies Kilian Batzner Lars Heckler Rebecca König 74 139 0 25 Mar 2023
Adding Conditional Control to Text-to-Image Diffusion Models Lvmin Zhang Anyi Rao Maneesh Agrawala AI4CE 173 4,146 1 10 Feb 2023
PNI : Industrial Anomaly Detection using Position and Neighborhood Information Jaehyeok Bae Jaehyeon Lee Seyun Kim 57 61 0 22 Nov 2022
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation Nataniel Ruiz Yuanzhen Li Varun Jampani Yael Pritch Michael Rubinstein Kfir Aberman 279 2,861 0 25 Aug 2022
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation Yang Zou Jongheon Jeong Latha Pemula Dongqing Zhang Onkar Dabeer 95 305 0 28 Jul 2022
A Unified Model for Multi-class Anomaly Detection Zhiyuan You Lei Cui Yujun Shen Kai Yang Xin Lu Yu Zheng Xinyi Le 70 223 0 08 Jun 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 460 15,665 0 20 Dec 2021
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization Hannah M. Schlüter Jeremy Tan Benjamin Hou Bernhard Kainz 161 137 0 30 Sep 2021
DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection Vitjan Zavrtanik Matej Kristan D. Skočaj 84 612 0 17 Aug 2021
Towards Total Recall in Industrial Anomaly Detection Karsten Roth Latha Pemula J. Zepeda Bernhard Schölkopf Thomas Brox Peter V. Gehler UQCV 88 911 0 15 Jun 2021
CutPaste: Self-Supervised Learning for Anomaly Detection and Localization Chun-Liang Li Kihyuk Sohn Jinsung Yoon Tomas Pfister SSL UQCV 90 778 0 08 Apr 2021
Gradient Projection Memory for Continual Learning Gobinda Saha Isha Garg Kaushik Roy VLM CLL 78 283 0 17 Mar 2021
Student-Teacher Feature Pyramid Matching for Anomaly Detection Guodong Wang Shumin Han Errui Ding Di Huang 73 219 0 07 Mar 2021
Multiresolution Knowledge Distillation for Anomaly Detection Mohammadreza Salehi Niousha Sadjadi Soroosh Baselizadeh M. Rohban Hamid R. Rabiee 129 440 0 22 Nov 2020
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization Thomas Defard Aleksandr Setkov Angélique Loesch Romaric Audigier UQCV 79 843 0 17 Nov 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 283 7,384 0 06 Oct 2020
Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows Marco Rudolph Bastian Wandt Bodo Rosenhahn UQCV 59 331 0 28 Aug 2020
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation Jihun Yi Sungroh Yoon 153 385 0 29 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 650 18,096 0 19 Jun 2020
Sub-Image Anomaly Detection with Deep Pyramid Correspondences Niv Cohen Yedid Hoshen 79 475 0 05 May 2020
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings Paul Bergmann Michael Fauser David Sattlegger C. Steger 81 665 0 06 Nov 2019
Memory Aware Synapses: Learning what (not) to forget Rahaf Aljundi F. Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars KELM CLL 87 1,636 0 27 Nov 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 713 131,652 0 12 Jun 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 369 7,518 0 02 Dec 2016