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AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

29 August 2023

Bingke Zhu

Ming Tang

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Papers citing "AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models"

20 / 20 papers shown

Title
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt Bin-Bin Gao 87 6 0 14 May 2025
VCM: Vision Concept Modeling Based on Implicit Contrastive Learning with Vision-Language Instruction Fine-Tuning Run Luo Renke Shan Longze Chen Ziqiang Liu Lu Wang Min Yang Xiaobo Xia MLLM VLM 247 1 0 28 Apr 2025
Hoi2Anomaly: An Explainable Anomaly Detection Approach Guided by Human-Object Interaction Yuhan Wang Cheng Liu Daou Zhang Weichao Wu 92 0 0 13 Mar 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 142 33 0 20 Jan 2025
GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis Bo Liu K. Zou Liming Zhan Zexin Lu Xiaoyu Dong Yidi Chen Chengqiang Xie Jiannong Cao Xiao-Ming Wu Huazhu Fu 180 2 0 25 Nov 2024
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 119 14 0 14 Oct 2024
LLM-3D Print: Large Language Models To Monitor and Control 3D Printing Yayati Jadhav P. Pak Amir Barati Farimani AI4CE 156 9 0 26 Aug 2024
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Models Lei Ren Haiteng Wang Yang Tang Yang Tang Chunhua Yang AI4TS AI4CE 114 5 0 16 Jul 2024
FabGPT: An Efficient Large Multimodal Model for Complex Wafer Defect Knowledge Queries Yuqi Jiang Xudong Lu Qian Jin Qi Sun Hanming Wu Cheng Zhuo 95 7 0 15 Jul 2024
Scaling Instruction-Finetuned Language Models Hyung Won Chung Le Hou Shayne Longpre Barret Zoph Yi Tay ... Jacob Devlin Adam Roberts Denny Zhou Quoc V. Le Jason W. Wei ReLM LRM 194 3,146 0 20 Oct 2022
Registration based Few-Shot Anomaly Detection Chaoqin Huang Haoyan Guan Aofan Jiang Ya Zhang Michael W. Spratling Yanfeng Wang 77 147 0 15 Jul 2022
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization Sungwook Lee Seunghyun Lee B. Song 102 194 0 09 Jun 2022
A Unified Model for Multi-class Anomaly Detection Zhiyuan You Lei Cui Yujun Shen Kai Yang Xin Lu Yu Zheng Xinyi Le 70 225 0 08 Jun 2022
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization Hannah M. Schlüter Jeremy Tan Benjamin Hou Bernhard Kainz 173 137 0 30 Sep 2021
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows Denis A. Gudovskiy Shun Ishizaka Kazuki Kozuka 112 404 0 27 Jul 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
Inpainting Transformer for Anomaly Detection Jonathan Pirnay K. Chai ViT 169 167 0 28 Apr 2021
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
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation Jihun Yi Sungroh Yoon 153 385 0 29 Jun 2020
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 229 8,706 0 15 Jun 2016