Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection

19 March 2024

Chengjie Wang

Wenbing Zhu

Papers citing "Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection"

44 / 44 papers shown

Title
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection Bin-Bin Gao Yue Zhu Jiangtao Yan Y. Cai W. Zhang Meng Wang Jun Liu Y. Liu L. Wang Chengjie Wang VLM 38 0 0 15 May 2025
Learning Multi-view Multi-class Anomaly Detection Qianzi Yu Yang Cao Yu Kang 47 0 0 30 Apr 2025
Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection Wenbing Zhu Lidong Wang Ziqing Zhou Chengjie Wang Yurui Pan ... Yulong Chen Shuguang Qian M. Chi Bo Peng Lizhuang Ma 26 0 0 19 Apr 2025
HSS-IAD: A Heterogeneous Same-Sort Industrial Anomaly Detection Dataset Qishan Wang Shuyong Gao J. Hu Jiawen Yu Xuan Tong You Li Wenqiang Zhang 30 0 0 17 Apr 2025
Search is All You Need for Few-shot Anomaly Detection Qishan Wang Jia Guo Shuyong Gao H. Wang Li Xiong J. Hu Hanqi Guo Wenqiang Zhang 53 0 0 16 Apr 2025
MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning Ylli Sadikaj Hongkuan Zhou Lavdim Halilaj Stefan Schmid Steffen Staab Claudia Plant 21 0 0 09 Apr 2025
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models Afshin Khadangi Amir Sartipi Igor Tchappi Ramin Bahmani 35 1 0 04 Apr 2025
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection Aimira Baitieva Yacine Bouaouni Alexandre Briot Dick Ameln Souhaiel Khalfaoui S. Akçay 44 0 0 30 Mar 2025
Omni-AD: Learning to Reconstruct Global and Local Features for Multi-class Anomaly Detection Jiajie Quan Ao Tong Yuxuan Cai Xinwei He Y. Wang Yang Zhou 54 1 0 27 Mar 2025
The MVTec AD 2 Dataset: Advanced Scenarios for Unsupervised Anomaly Detection Lars Heckler-Kram Jan-Hendrik Neudeck Ulla Scheler Rebecca König Carsten Steger 53 0 0 27 Mar 2025
Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection Farzad Beizaee Gregory A. Lodygensky Christian Desrosiers Jose Dolz 36 0 0 25 Mar 2025
Robust Distribution Alignment for Industrial Anomaly Detection under Distribution Shift Jingyi Liao Xun Xu Yongyi Su Rong-Cheng Tu Y. Liu Dacheng Tao Xulei Yang OOD 65 1 0 19 Mar 2025
EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models Zongyun Zhang Jiacheng Ruan Xian Gao Ting Liu Yuzhuo Fu 70 2 0 18 Mar 2025
Multi-View Industrial Anomaly Detection with Epipolar Constrained Cross-View Fusion Yifan Liu Xun Xu Shijie Li Jingyi Liao Xulei Yang 41 0 0 14 Mar 2025
Statistical Study of Sensor Data and Investigation of ML-based Calibration Algorithms for Inexpensive Sensor Modules: Experiments from Cape Point Travis Barrett Amit Kumar Mishra 43 0 0 09 Mar 2025
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects Paul J. Krassnig Dieter P. Gruber 148 0 0 06 Mar 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 Weiming Shen Wenyong Yu 57 1 0 04 Mar 2025
A Survey on Foundation-Model-Based Industrial Defect Detection Tianle Yang Luyao Chang Jiadong Yan J. Li Zhi Wang Ke Zhang AI4CE 84 2 0 26 Feb 2025
Patch-aware Vector Quantized Codebook Learning for Unsupervised Visual Defect Detection Qisen Cheng Shuhui Qu Janghwan Lee 51 4 0 17 Jan 2025
ForgeryGPT: Multimodal Large Language Model For Explainable Image Forgery Detection and Localization Jiawei Li Fanrui Zhang Jiaying Zhu Esther Sun Qiang Zhang Zheng-jun Zha MLLM 44 8 0 14 Oct 2024
RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations Kaichen Zhou Yang Cao Teawhan Kim H. Zhao Hao Dong Kai Ming Ting Ye Zhu 32 1 0 01 Oct 2024
VMAD: Visual-enhanced Multimodal Large Language Model for Zero-Shot Anomaly Detection Huilin Deng Hongchen Luo Wei Zhai Yang Cao Yu Kang 35 1 0 30 Sep 2024
AnomalyFactory: Regard Anomaly Generation as Unsupervised Anomaly Localization Ying Zhao 45 1 0 18 Aug 2024
SRTFD: Scalable Real-Time Fault Diagnosis through Online Continual Learning Dandan Zhao Karthick Sharma Hongpeng Yin Yuxin Qi Shuhao Zhang AI4CE 24 0 0 11 Aug 2024
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection Yunkang Cao Jiangning Zhang Luca Frittoli Yuqi Cheng Weiming Shen Giacomo Boracchi VLM 48 28 0 22 Jul 2024
Learning Multi-view Anomaly Detection Haoyang He Jiangning Zhang Guanzhong Tian Chengjie Wang Lei Xie 36 2 0 16 Jul 2024
CLIP3D-AD: Extending CLIP for 3D Few-Shot Anomaly Detection with Multi-View Images Generation Zuo Zuo Jiahao Dong Yao Wu Yanyun Qu Zongze Wu 34 3 0 27 Jun 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 37 15 0 11 Jun 2024
RAD: A Comprehensive Dataset for Benchmarking the Robustness of Image Anomaly Detection Yuqi Cheng Yunkang Cao Rui Chen Weiming Shen 38 3 0 11 Jun 2024
M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising Chengjie Wang Haokun Zhu Jinlong Peng Yue Wang Ran Yi Yunsheng Wu Lizhuang Ma J. J. Zhang 59 4 0 04 Jun 2024
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection Jia Guo Shuai Lu Weihang Zhang Huiqi Li Huiqi Li Hongen Liao ViT 61 7 0 23 May 2024
MiniMaxAD: A Lightweight Autoencoder for Feature-Rich Anomaly Detection Feng Wang Chengming Liu Lei Shi Haibo Pang 34 1 0 16 May 2024
IPAD: Industrial Process Anomaly Detection Dataset Jinfan Liu Yichao Yan Junjie Li Weiming Zhao Pengzhi Chu Xingdong Sheng Yunhui Liu Xiaokang Yang 37 0 0 23 Apr 2024
Learning Feature Inversion for Multi-class Anomaly Detection under General-purpose COCO-AD Benchmark Jiang-She Zhang Chengjie Wang Xiangtai Li Guanzhong Tian Zhucun Xue Yong Liu Guansong Pang Dacheng Tao 49 4 0 16 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 60 33 0 09 Apr 2024
SoftPatch: Unsupervised Anomaly Detection with Noisy Data Xi Jiang Ying Chen Qiang Nie Y. Liu Jianlin Liu Jinbao Wang WU Kai Chengjie Wang Feng Zheng 124 60 0 21 Mar 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 23 10 0 18 Mar 2024
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect Yunkang Cao Xiaohao Xu Jiangning Zhang Yuqi Cheng Xiaonan Huang Guansong Pang Weiming Shen 83 41 0 29 Jan 2024
GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection Jiangning Zhang Haoyang He Xuhai Chen Zhucun Xue Yabiao Wang Chengjie Wang Lei Xie Yong Liu MLLM 30 21 0 05 Nov 2023
SimpleNet: A Simple Network for Image Anomaly Detection and Localization Zhikang Liu Yiming Zhou Yuansheng Xu Zilei Wang 73 229 0 27 Mar 2023
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection Yufei Liang Jiangning Zhang Shiwei Zhao Ru-Chwen Wu Yong-Jin Liu Shuwen Pan 120 116 0 01 Mar 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 111 448 0 26 Jan 2022
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection Marco Rudolph Tom Wehrbein Bodo Rosenhahn Bastian Wandt UQCV 78 208 0 06 Oct 2021
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