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Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection

Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection

20 January 2025
Yuanze Li
Haolin Wang
Shihao Yuan
Ming-Yu Liu
Debin Zhao
Yiwen Guo
Chen Xu
Guangming Shi
Wangmeng Zuo
ArXivPDFHTML

Papers citing "Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection"

27 / 27 papers shown
Title
Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models
Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models
Sassan Mokhtar
Arian Mousakhan
Silvio Galesso
Jawad Tayyub
Thomas Brox
22
0
0
05 May 2025
LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning
LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning
Peijian Zeng
Feiyan Pang
Zhanbo Wang
Aimin Yang
68
0
0
28 Apr 2025
LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly Detection
LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly Detection
Weijia Li
Guanglei Chu
Jiong Chen
Guo-Sen Xie
Caifeng Shan
Fang Zhao
LRM
32
1
0
17 Apr 2025
AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection
AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection
Yuhao Chao
Jie Liu
J. Tang
Gangshan Wu
23
1
0
16 Apr 2025
SDIGLM: Leveraging Large Language Models and Multi-Modal Chain of Thought for Structural Damage Identification
SDIGLM: Leveraging Large Language Models and Multi-Modal Chain of Thought for Structural Damage Identification
Y. Zhang
Shiyin Wei
Yong Huang
Yawu Su
Shanshan Lu
Hui Li
AI4CE
19
0
0
12 Apr 2025
Beyond Academic Benchmarks: Critical Analysis and Best Practices for Visual Industrial Anomaly Detection
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
39
0
0
30 Mar 2025
EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models
EIAD: Explainable Industrial Anomaly Detection Via Multi-Modal Large Language Models
Zongyun Zhang
Jiacheng Ruan
Xian Gao
Ting Liu
Yuzhuo Fu
61
2
0
18 Mar 2025
Statistical Study of Sensor Data and Investigation of ML-based Calibration Algorithms for Inexpensive Sensor Modules: Experiments from Cape Point
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
A Survey on Foundation-Model-Based Industrial Defect Detection
A Survey on Foundation-Model-Based Industrial Defect Detection
Tianle Yang
Luyao Chang
Jiadong Yan
J. Li
Zhi Wang
Ke Zhang
AI4CE
76
2
0
26 Feb 2025
MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection
MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection
Xi Jiang
Jian Li
Hanqiu Deng
Y. Liu
Bin-Bin Gao
Yifeng Zhou
Jialin Li
Chengjie Wang
Feng Zheng
50
0
0
24 Feb 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
Ruiyao Xu
Kaize Ding
50
5
0
17 Feb 2025
Foundation Models for Anomaly Detection: Vision and Challenges
Foundation Models for Anomaly Detection: Vision and Challenges
Jing Ren
Tao Tang
Hong Jia
Haytham Fayek
Xiaodong Li
Suyu Ma
Xiwei Xu
Feng Xia
53
0
0
10 Feb 2025
ForgeryGPT: Multimodal Large Language Model For Explainable Image Forgery Detection and Localization
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
35
7
0
14 Oct 2024
VMAD: Visual-enhanced Multimodal Large Language Model for Zero-Shot
  Anomaly Detection
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
Generalized Out-of-Distribution Detection and Beyond in Vision Language
  Model Era: A Survey
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey
Atsuyuki Miyai
Jingkang Yang
Jingyang Zhang
Yifei Ming
Sisir Dhakal
...
Yixuan Li
Hai Li
Ziwei Liu
Toshihiko Yamasaki
Kiyoharu Aizawa
28
8
0
31 Jul 2024
Small Object Few-shot Segmentation for Vision-based Industrial
  Inspection
Small Object Few-shot Segmentation for Vision-based Industrial Inspection
Zilong Zhang
Chang Niu
Yi Lin
Jingchi Jiang
Xuefeng Chen
19
1
0
31 Jul 2024
CLIP3D-AD: Extending CLIP for 3D Few-Shot Anomaly Detection with
  Multi-View Images Generation
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
22
3
0
27 Jun 2024
DABL: Detecting Semantic Anomalies in Business Processes Using Large
  Language Models
DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models
Wei Guan
Jian Cao
Jianqi Gao
Haiyan Zhao
Shiyou Qian
29
2
0
22 Jun 2024
Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
Akila Wickramasekara
F. Breitinger
Mark Scanlon
42
7
0
29 Feb 2024
A Survey on Safe Multi-Modal Learning System
A Survey on Safe Multi-Modal Learning System
Tianyi Zhao
Liangliang Zhang
Yao Ma
Lu Cheng
52
7
0
08 Feb 2024
Large Scale Foundation Models for Intelligent Manufacturing
  Applications: A Survey
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey
Haotian Zhang
S. D. Semujju
Zhicheng Wang
Xianwei Lv
Kang Xu
...
Jing Wu
Zhuo Long
Wensheng Liang
Xiaoguang Ma
Ruiyan Zhuang
UQCV
AI4TS
AI4CE
25
4
0
11 Dec 2023
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
SimpleNet: A Simple Network for Image Anomaly Detection and Localization
Zhikang Liu
Yiming Zhou
Yuansheng Xu
Zilei Wang
66
219
0
27 Mar 2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
Jongheon Jeong
Yang Zou
Taewan Kim
Dongqing Zhang
Avinash Ravichandran
O. Dabeer
VLM
67
184
0
26 Mar 2023
Explainable Anomaly Detection in Images and Videos: A Survey
Explainable Anomaly Detection in Images and Videos: A Survey
Yizhou Wang
Dongliang Guo
Sheng R. Li
Octavia Camps
Yun Fu
10
5
0
13 Feb 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
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
244
4,186
0
30 Jan 2023
Anomaly Detection via Reverse Distillation from One-Class Embedding
Anomaly Detection via Reverse Distillation from One-Class Embedding
Hanqiu Deng
Xingyu Li
UQCV
101
299
0
26 Jan 2022
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and
  Localization
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization
Hannah M. Schlüter
Jeremy Tan
Benjamin Hou
Bernhard Kainz
118
82
0
30 Sep 2021
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