EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models

18 March 2025

Papers citing "EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models"

26 / 26 papers shown

Title
ReviewAgents: Bridging the Gap Between Human and AI-Generated Paper Reviews Xian Gao Jiacheng Ruan Jingsheng Gao Ting Liu Yuzhuo Fu 79 3 0 11 Mar 2025
VLRMBench: A Comprehensive and Challenging Benchmark for Vision-Language Reward Models Jiacheng Ruan Wenzhen Yuan Xian Gao Ye Guo Daoxin Zhang Zhe Xu Yao Hu Ting Liu Yuzhuo Fu LRM VLM 133 4 0 10 Mar 2025
MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection Xi Jiang Jian Li Hanqiu Deng Yang Liu Bin-Bin Gao Yifeng Zhou Jialin Li Chengjie Wang Feng Zheng 95 0 0 24 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 133 32 0 20 Jan 2025
MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios Jiacheng Ruan Wenzhen Yuan Zehao Lin Ning Liao Zhiyu Li Feiyu Xiong Ting Liu Yuzhuo Fu 59 5 0 24 Sep 2024
SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation Yi-Chia Chen Wei-Hua Li Cheng Sun Yu-Chiang Frank Wang Chu-Song Chen VLM 77 19 0 01 Sep 2024
MiniCPM-V: A GPT-4V Level MLLM on Your Phone Yuan Yao Tianyu Yu Ao Zhang Chongyi Wang Junbo Cui ... Xu Han Guoyang Zeng Dahai Li Zhiyuan Liu Maosong Sun VLM MLLM 101 434 0 03 Aug 2024
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection Chengjie Wang Wenbing Zhu Bin-Bin Gao Zhenye Gan Jianning Zhang Zhihao Gu Shuguang Qian Mingang Chen Lizhuang Ma 99 51 0 19 Mar 2024
GSVA: Generalized Segmentation via Multimodal Large Language Models Zhuofan Xia Dongchen Han Yizeng Han Xuran Pan Shiji Song Gao Huang VLM 93 63 0 15 Dec 2023
Image-Pointcloud Fusion based Anomaly Detection using PD-REAL Dataset Jianjian Qin Chunzhi Gu Junzhou Yu Chao Zhang 54 2 0 07 Nov 2023
GLaMM: Pixel Grounding Large Multimodal Model H. Rasheed Muhammad Maaz Sahal Shaji Mullappilly Abdelrahman M. Shaker Salman Khan Hisham Cholakkal Rao M. Anwer Erix Xing Ming-Hsuan Yang Fahad S. Khan MLLM VLM 89 227 0 06 Nov 2023
Towards Generic Anomaly Detection and Understanding: Large-scale Visual-linguistic Model (GPT-4V) Takes the Lead Yunkang Cao Xiaohao Xu Chen Sun Xiaonan Huang Nong Sang VLM MLLM 31 37 0 05 Nov 2023
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection Qihang Zhou Guansong Pang Yu Tian Shibo He Jiming Chen VLM 58 136 0 29 Oct 2023
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models Zhaopeng Gu Bingke Zhu Guibo Zhu Yingying Chen Ming Tang Jinqiao Wang VLM MLLM 59 105 0 29 Aug 2023
LISA: Reasoning Segmentation via Large Language Model Xin Lai Zhuotao Tian Yukang Chen Yanwei Li Yuhui Yuan Shu Liu Jiaya Jia LM&Ro VLM MLLM LRM 100 436 0 01 Aug 2023
Zero-Shot Anomaly Detection with Pre-trained Segmentation Models Matthew Baugh James Batten Johanna P. Müller Bernhard Kainz 49 6 0 15 Jun 2023
VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON Haoping Bai Shancong Mou Tatiana Likhomanenko R. G. Cinbis Oncel Tuzel Ping Huang Jiulong Shan Jianjun Shi Mengsi Cao VLM 43 24 0 13 Jun 2023
Visual Instruction Tuning Haotian Liu Chunyuan Li Qingyang Wu Yong Jae Lee SyDa VLM MLLM 402 4,678 0 17 Apr 2023
Segment Anything A. Kirillov Eric Mintun Nikhila Ravi Hanzi Mao Chloe Rolland ... Spencer Whitehead Alexander C. Berg Wan-Yen Lo Piotr Dollár Ross B. Girshick MLLM VLM 306 7,213 0 05 Apr 2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation Jongheon Jeong Yang Zou Taewan Kim Dongqing Zhang Avinash Ravichandran Onkar Dabeer VLM 112 198 0 26 Mar 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 401 4,527 0 30 Jan 2023
The Eyecandies Dataset for Unsupervised Multimodal Anomaly Detection and Localization L. Bonfiglioli Marco Toschi Davide Silvestri Nicola Fioraio Daniele De Gregorio 78 36 0 10 Oct 2022
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation Yang Zou Jongheon Jeong Latha Pemula Dongqing Zhang Onkar Dabeer 88 300 0 28 Jul 2022
The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization Paul Bergmann Xin Jin David Sattlegger C. Steger 53 146 0 16 Dec 2021
Inpainting Transformer for Anomaly Detection Jonathan Pirnay K. Chai ViT 139 167 0 28 Apr 2021
Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings Paul Bergmann Michael Fauser David Sattlegger C. Steger 68 663 0 06 Nov 2019