CutPaste: Self-Supervised Learning for Anomaly Detection and Localization

8 April 2021

Chun-Liang Li

Tomas Pfister

Papers citing "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization"

50 / 121 papers shown

Title
UniFormaly: Towards Task-Agnostic Unified Framework for Visual Anomaly Detection Yujin Lee Harin Lim Seoyoon Jang H. Yoon 32 4 0 24 Jul 2023
Contextual Affinity Distillation for Image Anomaly Detection Jie Zhang Masanori Suganuma Takayuki Okatani 42 14 0 06 Jul 2023
End-to-End Augmentation Hyperparameter Tuning for Self-Supervised Anomaly Detection Jaemin Yoo Lingxiao Zhao Leman Akoglu 30 4 0 21 Jun 2023
MixedTeacher : Knowledge Distillation for fast inference textural anomaly detection Simon Thomine H. Snoussi Mahmoud Soua 33 5 0 16 Jun 2023
Towards Semi-supervised Universal Graph Classification Xiao Luo Yusheng Zhao Yifang Qin Wei Ju Ming Zhang 36 30 0 31 May 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 32 27 0 15 May 2023
Unsupervised anomaly localization in high-resolution breast scans using deep pluralistic image completion N. Konz Haoyu Dong Maciej Mazurowski 33 2 0 04 May 2023
High-Fidelity Zero-Shot Texture Anomaly Localization Using Feature Correspondence Analysis Andrei-Timotei Ardelean Tim Weyrich 42 4 0 13 Apr 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 27 50 0 05 Apr 2023
Visual Anomaly Detection via Dual-Attention Transformer and Discriminative Flow Haiming Yao Wei Luo Wenyong Yu ViT 34 3 0 31 Mar 2023
EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies Kilian Batzner Lars Heckler Rebecca König 43 130 0 25 Mar 2023
Anomaly Detection under Distribution Shift T. Cao Jiawen Zhu Guansong Pang 48 26 0 24 Mar 2023
Confidence-Aware and Self-Supervised Image Anomaly Localisation Johanna P. Müller Matthew Baugh Jeremy Tan Mischa Dombrowski Bernhard Kainz UQCV OOD 24 4 0 23 Mar 2023
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection Hui Zhang Zheng Wang Dan Zeng Zuxuan Wu Yu-Gang Jiang DiffM 45 24 0 15 Mar 2023
Learning Global-Local Correspondence with Semantic Bottleneck for Logical Anomaly Detection Haiming Yao Wenyong Yu Wei Luo Zhenfeng Qiang Donghao Luo Xiaotian Zhang 34 21 0 10 Mar 2023
Diversity-Measurable Anomaly Detection Wenrui Liu Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 35 56 0 09 Mar 2023
Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation Yuxuan Duan Y. Hong Li Niu Liqing Zhang 48 51 0 04 Mar 2023
Evolutionary Augmentation Policy Optimization for Self-supervised Learning Noah Barrett Zahra Sadeghi Stan Matwin 30 3 0 02 Mar 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images K. Yu Li Sun Junxiang Chen Maxwell Reynolds Tigmanshu Chaudhary Kayhan Batmanghelich 25 1 0 21 Feb 2023
Weakly Supervised Anomaly Detection: A Survey Minqi Jiang Chaochuan Hou Ao Zheng Xiyang Hu Songqiao Han Hailiang Huang Xiangnan He Philip S. Yu Yue Zhao 33 30 0 09 Feb 2023
$FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation$ FractalAD: A simple industrial anomaly detection method using fractal anomaly generation and backbone knowledge distillation X. Xia Weijie Lv Xing He Nan Li Chuanqi Liu Ning Ding 41 1 0 30 Jan 2023
Prototypical Residual Networks for Anomaly Detection and Localization H. Zhang Zuxuan Wu Zhigang Wang Zhineng Chen Yuwei Jiang UQCV AI4TS 35 62 0 05 Dec 2022
PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning Jie Hong Shi Qiu Weihong Li Saeed Anwar Mehrtash Harandi Nick Barnes L. Petersson 3DPC 34 6 0 05 Dec 2022
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch Jinsung Yoon Kihyuk Sohn Chun-Liang Li Sercan Ö. Arik Tomas Pfister 29 7 0 30 Nov 2022
Scalable Pathogen Detection from Next Generation DNA Sequencing with Deep Learning S. Narayanan Sathyanarayanan N. Aakur Priyadharsini Ramamurthy A. Bagavathi V. Ramnath A. Ramachandran 19 0 0 30 Nov 2022
FRE: A Fast Method For Anomaly Detection And Segmentation I. Ndiour Nilesh A. Ahuja Ergin Utku Genc Omesh Tickoo 48 2 0 23 Nov 2022
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold Matías Tailanián Álvaro Pardo Pablo Musé 30 18 0 22 Nov 2022
Improving Crowded Object Detection via Copy-Paste Jiangfan Deng Dewen Fan Xiaosong Qiu Feng Zhou 22 12 0 22 Nov 2022
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection Xuan Zhang Shiyu Li Xi Li Ping Huang Jiulong Shan Ting Chen 18 126 0 21 Nov 2022
SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes Nicolas Larue Ngoc-Son Vu Vitomir Štruc Peter Peer V. Christophides AAML 35 27 0 21 Nov 2022
Anomaly Detection via Multi-Scale Contrasted Memory Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 27 0 0 16 Nov 2022
Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual Anomaly Detector Haiming Yao Xue Wang Wenyong Yu 29 9 0 01 Nov 2022
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples Jianjian Qin Chunzhi Gu Junzhou Yu Chaoxi Zhang 3DPC 29 12 0 31 Oct 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
Self-Supervised Guided Segmentation Framework for Unsupervised Anomaly Detection Peng-Fei Xing Yanpeng Sun Zechao Li 30 12 0 26 Sep 2022
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection Neelu Madan Nicolae-Cătălin Ristea Radu Tudor Ionescu Kamal Nasrollahi Fahad Shahbaz Khan T. Moeslund M. Shah ViT MedIm 261 61 0 25 Sep 2022
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods Matthew Baugh Jeremy Tan Athanasios Vlontzos Johanna P. Müller Bernhard Kainz OOD 24 2 0 02 Sep 2022
SSDPT: Self-Supervised Dual-Path Transformer for Anomalous Sound Detection in Machine Condition Monitoring Jisheng Bai Jianfeng Chen Mou Wang Muhammad Saad Ayub Qingli Yan 54 15 0 06 Aug 2022
DSR -- A dual subspace re-projection network for surface anomaly detection Vitjan Zavrtanik Matej Kristan D. Skočaj 28 103 0 02 Aug 2022
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection Hongzuo Xu Yijie Wang Songlei Jian Qing Liao Yongjun Wang Guansong Pang AI4TS 21 40 0 25 Jul 2022
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection Gaoang Wang Yibing Zhan Xinchao Wang Min-Gyoo Song K. Nahrstedt 27 11 0 24 Jul 2022
Registration based Few-Shot Anomaly Detection Chaoqin Huang Haoyan Guan Aofan Jiang Ya Zhang Michael W. Spratling Yanfeng Wang 30 142 0 15 Jul 2022
Task-oriented Self-supervised Learning for Anomaly Detection in Electroencephalography Yaojia Zheng Zhouwu Liu Rong Mo Ziyi Chen Weiqiao Zheng Ruixuan Wang 38 10 0 04 Jul 2022
Self-Supervised Training with Autoencoders for Visual Anomaly Detection Alexander Bauer Shinichi Nakajima Klaus-Robert Müller 24 9 0 23 Jun 2022
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization Sungwook Lee Seunghyun Lee B. Song 26 179 0 09 Jun 2022
Attack-Agnostic Adversarial Detection Jiaxin Cheng Mohamed Hussein J. Billa Wael AbdAlmageed AAML 26 0 0 01 Jun 2022
Self-Supervised Masking for Unsupervised Anomaly Detection and Localization Chaoqin Huang Qinwei Xu Yanfeng Wang Yu Wang Ya Zhang 37 66 0 13 May 2022
Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection Muhao Xu Xueying Zhou Xizhan Gao Wei-Xiong He Sijie Niu 29 7 0 23 Apr 2022
Unsupervised Change Detection Based on Image Reconstruction Loss Hyeoncheol Noh Jingi Ju Min-seok Seo Jong-chan Park Dong-Geol Choi 30 36 0 04 Apr 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection Choubo Ding Guansong Pang Chunhua Shen OOD 24 112 0 28 Mar 2022