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This paper presents LogiCode, a novel framework that leverages Large Language Models (LLMs) for identifying logical anomalies in industrial settings, moving beyond traditional focus on structural inconsistencies.
Reducing the dimensionality of data with neural networks
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Padim: a patch distribution modeling framework for anomaly detection and localization
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Beyond dents and scratches: Logical constraints in unsupervised anomaly detection and localization
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Anomaly detection via reverse distillation from one-class embedding
H. Deng and X. Li · 2022
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Towards total recall in industrial anomaly detection
K. Roth, L. Pemula, J. Zepeda, B. Scholkopf, T. Brox, and P. Gehler · 2022
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Informative knowledge distillation for image anomaly segmentation
Y. Cao, Q. Wan, W. Shen, and L. Gao · 2022
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A feature memory rearrangement network for visual inspection of textured surface defects toward edge intelligent manufacturing
H. Yao, W. Yu, and X. Wang · 2022
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Large language models are zero-shot reasoners
T. Kojima, S. Gu, M. Reid, Y. Matsuo, and Y. Iwasawa · 2022
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Dual-attention transformer and discriminative flow for industrial visual anomaly detection
H. Yao, W. Luo, W. Yu, X. Zhang, Z. Qiang, D. Luo, and H. Shi · 2023
A masked reverse knowledge distillation method incorporating global and local information for image anomaly detection
Y. Jiang, Y. Cao, and W. Shen · 2023
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Collaborative discrepancy optimization for reliable image anomaly localization
Y. Cao, X. Xu, Z. Liu, and W. Shen · 2023
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Anomalygpt: Detecting industrial anomalies using large vision-language models
Z. Gu, B. Zhu, G. Zhu, Y. Chen, M. Tang, and J. Wang · 2023
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Exploring grounding potential of vqa-oriented gpt-4v for zero-shot anomaly detection
J. Zhang, X. Chen, Z. Xue, Y. Wang, C. Wang, and Y. Liu · 2023
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Industrial‐generative pre‐trained transformer for intelligent manufacturing systems
H. Wang, M. Liu, and W. Shen · 2023
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Y. Cao, X. Xu, C. Sun, X. Huang, and W. Shen · 2023
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A prompt pattern catalog to enhance prompt engineering with chatgpt
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Prompt engineering a prompt engineer
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Mint: Evaluating llms in multi-turn interaction with tools and language feedback
X. Wang, Z. Wang, J. Liu, Y. Chen, L. Yuan, H. Peng, and H. Ji · 2023
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Gpt-4 technical report. arxiv 2303.08774
OpenAI · 2023
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A survey on visual anomaly detection: Challenge, approach, and prospect
Y. Cao, X. Xu, J. Zhang, Y. Cheng, X. Huang, G. Pang, and W. Shen · 2024
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Efficientad: Accurate visual anomaly detection at millisecond-level latencies
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