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Foundation Models for Anomaly Detection: Vision and Challenges

Foundation Models for Anomaly Detection: Vision and Challenges

10 February 2025
Jing Ren
Tao Tang
Hong Jia
Haytham Fayek
Xiaodong Li
Suyu Ma
Xiwei Xu
Feng Xia
ArXivPDFHTML

Papers citing "Foundation Models for Anomaly Detection: Vision and Challenges"

14 / 14 papers shown
Title
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
101
5
0
17 Feb 2025
Myriad: Large Multimodal Model by Applying Vision Experts for Industrial Anomaly Detection
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
31
0
20 Jan 2025
Real-Time Anomaly Detection and Reactive Planning with Large Language
  Models
Real-Time Anomaly Detection and Reactive Planning with Large Language Models
Rohan Sinha
Amine Elhafsi
Christopher Agia
Matthew Foutter
Edward Schmerling
Marco Pavone
OffRL
LRM
64
29
0
11 Jul 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
68
5
0
22 Jun 2024
Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with
  LLMs
Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs
A. Bakumenko
Katerina Hlaváčková-Schindler
Claudia Plant
Nina C. Hubig
70
5
0
05 Jun 2024
Large Language Models can Deliver Accurate and Interpretable Time Series
  Anomaly Detection
Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection
Jun Liu
Chaoyun Zhang
Jiaxu Qian
Ming-Jie Ma
Si Qin
Chetan Bansal
Qingwei Lin
Saravan Rajmohan
Dongmei Zhang
AI4TS
47
10
0
24 May 2024
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection
Jiaqi Zhu
Shaofeng Cai
Fang Deng
Junran Wu
Junran Wu
91
16
0
15 Apr 2024
Harnessing Large Language Models for Training-free Video Anomaly
  Detection
Harnessing Large Language Models for Training-free Video Anomaly Detection
Luca Zanella
Willi Menapace
Massimiliano Mancini
Yiming Wang
Elisa Ricci
VLM
66
26
0
01 Apr 2024
Toward Generalist Anomaly Detection via In-context Residual Learning
  with Few-shot Sample Prompts
Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts
Jiawen Zhu
Guansong Pang
VLM
88
37
0
11 Mar 2024
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAG
MLLM
996
14,179
0
15 Mar 2023
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
509
4,021
0
18 Apr 2021
Graph Self-Supervised Learning: A Survey
Graph Self-Supervised Learning: A Survey
Yixin Liu
Ming Jin
Shirui Pan
Chuan Zhou
Yu Zheng
Feng Xia
Philip S. Yu
SSL
77
560
0
27 Feb 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
806
29,167
0
26 Feb 2021
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for
  Vision-and-Language Tasks
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
Jiasen Lu
Dhruv Batra
Devi Parikh
Stefan Lee
SSL
VLM
217
3,667
0
06 Aug 2019
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