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GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for
  Zero-shot Anomaly Detection

GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection

5 November 2023
Jiangning Zhang
Haoyang He
Xuhai Chen
Zhucun Xue
Yabiao Wang
Chengjie Wang
Lei Xie
Yong Liu
    MLLM
ArXivPDFHTML

Papers citing "GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection"

23 / 23 papers shown
Title
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
25
1
0
16 Apr 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
UrbanSAM: Learning Invariance-Inspired Adapters for Segment Anything Models in Urban Construction
UrbanSAM: Learning Invariance-Inspired Adapters for Segment Anything Models in Urban Construction
Chenyu Li
Danfeng Hong
Bing Zhang
Yuxuan Li
Gustau Camps-Valls
X. Zhu
J. Chanussot
58
1
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
53
5
0
17 Feb 2025
Learning Multi-view Anomaly Detection
Learning Multi-view Anomaly Detection
Haoyang He
Jiangning Zhang
Guanzhong Tian
Chengjie Wang
Lei Xie
36
2
0
16 Jul 2024
LogiCode: an LLM-Driven Framework for Logical Anomaly Detection
LogiCode: an LLM-Driven Framework for Logical Anomaly Detection
Yiheng Zhang
Yunkang Cao
Xiaohao Xu
Weiming Shen
34
14
0
07 Jun 2024
M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via
  Multimodal Denoising
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
57
4
0
04 Jun 2024
List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs
List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs
An Yan
Zhengyuan Yang
Junda Wu
Wanrong Zhu
Jianwei Yang
...
K. Lin
Jianfeng Wang
Julian McAuley
Jianfeng Gao
Lijuan Wang
LRM
34
12
0
25 Apr 2024
Long-Tailed Anomaly Detection with Learnable Class Names
Long-Tailed Anomaly Detection with Learnable Class Names
Chih-Hui Ho
Kuan-Chuan Peng
Nuno Vasconcelos
OODD
33
6
0
29 Mar 2024
Effectiveness Assessment of Recent Large Vision-Language Models
Effectiveness Assessment of Recent Large Vision-Language Models
Yao Jiang
Xinyu Yan
Ge-Peng Ji
Keren Fu
Meijun Sun
Huan Xiong
Deng-Ping Fan
Fahad Shahbaz Khan
27
14
0
07 Mar 2024
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect
Yunkang Cao
Xiaohao Xu
Jiangning Zhang
Yuqi Cheng
Xiaonan Huang
Guansong Pang
Weiming Shen
81
41
0
29 Jan 2024
Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly
  Detection
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
23
24
0
12 Dec 2023
DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection
DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection
Haoyang He
Jiangning Zhang
Hongxu Chen
Xuhai Chen
Zhishan Li
Xu Chen
Yabiao Wang
Chengjie Wang
Lei Xie
DiffM
20
28
0
11 Dec 2023
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
Teng Hu
Jiangning Zhang
Ran Yi
Yuzhen Du
Xu Chen
Liang Liu
Yabiao Wang
Chengjie Wang
77
66
0
10 Dec 2023
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets
  Prompt Engineering
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering
Chaoning Zhang
Fachrina Dewi Puspitasari
Sheng Zheng
Chenghao Li
Yu Qiao
...
Caiyan Qin
François Rameau
Lik-Hang Lee
Sung-Ho Bae
Choong Seon Hong
VLM
76
62
0
12 May 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
68
229
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
16
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
265
4,229
0
30 Jan 2023
Omni-frequency Channel-selection Representations for Unsupervised
  Anomaly Detection
Omni-frequency Channel-selection Representations for Unsupervised Anomaly Detection
Yufei Liang
Jiangning Zhang
Shiwei Zhao
Ru-Chwen Wu
Yong-Jin Liu
Shuwen Pan
118
116
0
01 Mar 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding
Anomaly Detection via Reverse Distillation from One-Class Embedding
Hanqiu Deng
Xingyu Li
UQCV
104
446
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
128
0
30 Sep 2021
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