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Sub-Image Anomaly Detection with Deep Pyramid Correspondences

5 May 2020

Papers citing "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"

50 / 82 papers shown

Title
INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual Learning Wei Luo Haiming Yao Yunkang Cao Qiyu Chen Ang Gao Weiming Shen Weihang Zhang 108 0 0 01 Jul 2025
Noise Fusion-based Distillation Learning for Anomaly Detection in Complex Industrial Environments Jiawen Yu Jieji Ren Yang Chang Qiaojun Yu Xuan Tong Boyang Wang Yan Song You Li Xinji Mai Wenqiang Zhang 20 0 0 19 Jun 2025
CLIP Meets Diffusion: A Synergistic Approach to Anomaly Detection Byeongchan Lee John Won Seunghyun Lee Jinwoo Shin 27 0 0 13 Jun 2025
HomographyAD: Deep Anomaly Detection Using Self Homography Learning Jongyub Seok Chanjin Kang 15 0 0 10 Jun 2025
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection Hanzhe Liang Aoran Wang Jie Zhou Xin Jin C. Gao Jinbao Wang 194 1 0 09 May 2025
Search is All You Need for Few-shot Anomaly Detection Qishan Wang Jia Guo Shuyong Gao Hongru Wang Li Xiong J. Hu Hanqi Guo Wenqiang Zhang 160 0 0 16 Apr 2025
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection Wei Luo Yunkang Cao Haiming Yao Xiaotian Zhang Jianan Lou Y. Cheng Nong Sang Wenyong Yu 112 5 0 04 Mar 2025
One-for-More: Continual Diffusion Model for Anomaly Detection Xiaofan Li Xin Tan Zhuo Chen Zhizhong Zhang Ruixin Zhang ... Guanna Jiang Yulong Chen Yanyun Qu Lizhuang Ma Yuan Xie DiffM 136 2 0 27 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 182 3 0 17 Feb 2025
Exploring Few-Shot Defect Segmentation in General Industrial Scenarios with Metric Learning and Vision Foundation Models Tongkun Liu Bing Li Xiao Jin Yupeng Shi Qiuying Li Xiang Wei 133 0 0 03 Feb 2025
Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection Yuanze Li Haolin Wang Shihao Yuan Ming-Yu Liu Debin Zhao Yiwen Guo Chen Xu Guangming Shi Wangmeng Zuo 162 33 0 20 Jan 2025
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Qisen Cheng Shuhui Qu Janghwan Lee 106 4 0 17 Jan 2025
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection Fenfang Tao G. Xie Fang Zhao Xiangbo Shu 133 3 0 23 Dec 2024
DAS3D: Dual-modality Anomaly Synthesis for 3D Anomaly Detection Kecen Li Bingquan Dai Jingjing Fu Xinwen Hou 73 2 0 13 Oct 2024
Attention-Guided Perturbation for Unsupervised Image Anomaly Detection Tingfeng Huang Yuxuan Cheng Jingbo Xia Rui Yu Yuxuan Cai Jinhai Xiang Xinwei He AAML 256 0 0 14 Aug 2024
Learning to Be a Transformer to Pinpoint Anomalies Alex Costanzino Pierluigi Zama Ramirez Giuseppe Lisanti Luigi Di Stefano 95 0 0 04 Jul 2024
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2 Simon Damm M. Laszkiewicz Johannes Lederer Asja Fischer 126 8 0 23 May 2024
MiniMaxAD: A Lightweight Autoencoder for Feature-Rich Anomaly Detection Feng Wang Chengming Liu Lei Shi Haibo Pang 83 2 0 16 May 2024
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection Junzhuo Chen Shitong Kang 92 0 0 10 May 2024
Blind Localization and Clustering of Anomalies in Textures Andrei-Timotei Ardelean Tim Weyrich 91 3 0 18 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 157 44 0 09 Apr 2024
Long-Tailed Anomaly Detection with Learnable Class Names Chih-Hui Ho Kuan-Chuan Peng Nuno Vasconcelos OODD 108 6 0 29 Mar 2024
Dual-Student Knowledge Distillation Networks for Unsupervised Anomaly Detection Liyi Yao Shaobing Gao 50 1 0 01 Feb 2024
Set Features for Anomaly Detection Niv Cohen Issar Tzachor Yedid Hoshen 199 0 0 24 Nov 2023
SCL-VI: Self-supervised Context Learning for Visual Inspection of Industrial Defects Peng Wang Haiming Yao Wenyong Yu 110 3 0 11 Nov 2023
OpenPatch: a 3D patchwork for Out-Of-Distribution detection Paolo Rabino A. Alliegro Francesco Cappio Borlino Tatiana Tommasi 3DPC 78 1 0 05 Oct 2023
Don't Miss Out on Novelty: Importance of Novel Features for Deep Anomaly Detection S. Sivaprasad Mario Fritz AAML 70 0 0 01 Oct 2023
PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and Segmentation Jian Zhang Runwei Ding Miaoju Ban Linhui Dai 93 16 0 11 Jul 2023
Disaster Anomaly Detector via Deeper FCDDs for Explainable Initial Responses Takato Yasuno Masahiro Okano Junichiro Fujii 53 0 0 05 Jun 2023
k-NNN: Nearest Neighbors of Neighbors for Anomaly Detection Ori Nizan A. Tal 48 7 0 28 May 2023
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection Jeeho Hyun Sangyun Kim Giyoung Jeon Seung Hwan Kim Kyunghoon Bae Byungjin Kang UQCV 133 44 0 26 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 81 29 0 15 May 2023
Visual Anomaly Detection via Dual-Attention Transformer and Discriminative Flow Haiming Yao Wei Luo Wenyong Yu ViT 78 3 0 31 Mar 2023
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection Hui Zhang Zheng Wang Dan Zeng Zuxuan Wu Yu-Gang Jiang DiffM 169 34 0 15 Mar 2023
Two-stream Decoder Feature Normality Estimating Network for Industrial Anomaly Detection Chaewon Park Minhyeok Lee Suhwan Cho Donghyeon Kim Sangyoun Lee 127 4 0 20 Feb 2023
Continual Learning Approaches for Anomaly Detection Davide Dalle Pezze Eugenia Anello Chiara Masiero Gian Antonio Susto 72 6 0 21 Dec 2022
Multi-scale Feature Imitation for Unsupervised Anomaly Localization Chao Hu Shengxin Lai 73 1 0 12 Dec 2022
Prototypical Residual Networks for Anomaly Detection and Localization H. Zhang Zuxuan Wu Ziyi Wang Zhineng Chen Yuwei Jiang UQCV AI4TS 119 67 0 05 Dec 2022
MAEDAY: MAE for few and zero shot AnomalY-Detection Eli Schwartz Assaf Arbelle Leonid Karlinsky Sivan Harary Florian Scheidegger Sivan Doveh Raja Giryes ViT UQCV 83 36 0 25 Nov 2022
MIAD: A Maintenance Inspection Dataset for Unsupervised Anomaly Detection Tianpeng Bao Jiadong Chen Wei Li Xiang Wang Jingjing Fei Liwei Wu Rui Zhao Ye Zheng 148 22 0 25 Nov 2022
FRE: A Fast Method For Anomaly Detection And Segmentation I. Ndiour Nilesh A. Ahuja Ergin Utku Genc Omesh Tickoo 101 3 0 23 Nov 2022
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold Matías Tailanián Álvaro Pardo Pablo Musé 94 22 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 88 140 0 21 Nov 2022
FAPM: Fast Adaptive Patch Memory for Real-time Industrial Anomaly Detection Donghyeon Kim Chaewon Park Suhwan Cho Sangyoun Lee 83 36 0 14 Nov 2022
Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual Anomaly Detector Haiming Yao Xue Wang Wenyong Yu 87 9 0 01 Nov 2022
ADPS: Asymmetric Distillation Post-Segmentation for Image Anomaly Detection Peng-Fei Xing Hao Tang Jinhui Tang Zechao Li 105 5 0 19 Oct 2022
N-pad : Neighboring Pixel-based Industrial Anomaly Detection Junkyu Jang Eugene Hwang Sung-Hyuk Park 96 23 0 17 Oct 2022
Reconstructed Student-Teacher and Discriminative Networks for Anomaly Detection Shinji Yamada Satoshi Kamiya Kazuhiro Hotta 81 32 0 14 Oct 2022
Image-Based Detection of Modifications in Gas Pump PCBs with Deep Convolutional Autoencoders D. Oliveira B. Nassu M. A. Wehrmeister 63 0 0 30 Sep 2022
Visual Anomaly Detection Via Partition Memory Bank Module and Error Estimation Peng-Fei Xing Zechao Li 127 34 0 26 Sep 2022