ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection

26 May 2023

Papers citing "ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection"

21 / 21 papers shown

Title
CXR-AD: Component X-ray Image Dataset for Industrial Anomaly Detection Haoyu Bai Jie Wang Gaomin Li X. Li Xiaohu Zhang Xia Yang 27 0 0 06 May 2025
Unsupervised Feature Disentanglement and Augmentation Network for One-class Face Anti-spoofing Pei-Kai Huang Jun-Xiong Chong Ming-Tsung Hsu Fang-Yu Hsu Yi-Ting Lin Kai-Heng Chien Hao-Chiang Shao Chiou-Ting Hsu CVBM 39 0 0 29 Mar 2025
CLICv2: Image Complexity Representation via Content Invariance Contrastive Learning Shipeng Liu Liang Zhao Dengfeng Chen SSL 98 0 0 09 Mar 2025
Language-Assisted Feature Transformation for Anomaly Detection EungGu Yun Heonjin Ha Yeongwoo Nam Bryan Dongik Lee 61 0 0 03 Mar 2025
SPACE: SPAtial-aware Consistency rEgularization for anomaly detection in Industrial applications Daehwan Kim Hyungmin Kim Daun Jeong Sungho Suh Hansang Cho 37 0 0 05 Nov 2024
Change-Aware Siamese Network for Surface Defects Segmentation under Complex Background Biyuan Liu Huaixin Chen Huiyao Zhan Sijie Luo Zhou Huang 24 1 0 01 Sep 2024
Can Visual Language Models Replace OCR-Based Visual Question Answering Pipelines in Production? A Case Study in Retail Bianca Lamm Janis Keuper 52 2 0 28 Aug 2024
Find the Assembly Mistakes: Error Segmentation for Industrial Applications Dan Lehman Tim J. Schoonbeek Shao-Hsuan Hung Jacek Kustra Peter H. N. de With Fons van der Sommen UQCV 22 0 0 23 Aug 2024
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization Qiyu Chen Huiyuan Luo Chengkan Lv Zhengtao Zhang 35 15 0 12 Jul 2024
Domain-independent detection of known anomalies Jonas Buhler Jonas Fehrenbach Lucas Steinmann Christian Nauck Marios Koulakis 26 0 0 03 Jul 2024
Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task Jie Liu Yao Wu Xiaotong Luo Zongze Wu 26 0 0 09 Jun 2024
Long-Tailed Anomaly Detection with Learnable Class Names Chih-Hui Ho Kuan-Chuan Peng Nuno Vasconcelos OODD 35 6 0 29 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 20 17 0 02 Jan 2024
Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection Songmin Dai Yifan Wu Xiaoqiang Li Xiangyang Xue 25 12 0 26 Dec 2023
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection Soopil Kim Sion An Philip Chikontwe Myeongkyun Kang Ehsan Adeli K. Pohl Sanghyun Park 19 17 0 21 Dec 2023
Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection Jiangning Zhang Xuhai Chen Yabiao Wang Chengjie Wang Yong Liu Xiangtai Li Ming-Hsuan Yang Dacheng Tao 25 24 0 12 Dec 2023
Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization Christopher Liao Theodoros Tsiligkaridis Brian Kulis SSL 30 3 0 04 Oct 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 108 448 0 26 Jan 2022
VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization P. Mishra Riccardo Verk Daniele Fornasier C. Piciarelli G. Foresti ViT 80 286 0 20 Apr 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 249 36,362 0 25 Aug 2016