Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts

11 March 2024

Papers citing "Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts"

10 / 10 papers shown

Title
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey Ruiyao Xu Kaize Ding 42 5 0 17 Feb 2025
Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining Ke Zhang Zhaoye Zheng Yurong Guo Jiacun Wang Jiyuan Yang Yangjie Xiao VLM 77 0 0 18 Nov 2024
Deep Learning for Video Anomaly Detection: A Review Peng Wu Chengyu Pan Yuting Yan Guansong Pang Peng Wang Yanning Zhang VLM AI4TS 22 6 0 09 Sep 2024
Weakly Supervised Video Anomaly Detection and Localization with Spatio-Temporal Prompts Peng Wu Xuerong Zhou Guansong Pang Zhiwei Yang Qingsen Yan Peng Wang Yanning Zhang 20 9 0 12 Aug 2024
Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection Jiaqi Zhu Shaofeng Cai Fang Deng Junran Wu Junran Wu 28 15 0 15 Apr 2024
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect Yunkang Cao Xiaohao Xu Jiangning Zhang Yuqi Cheng Xiaonan Huang Guansong Pang Weiming Shen 76 19 0 29 Jan 2024
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation Jongheon Jeong Yang Zou Taewan Kim Dongqing Zhang Avinash Ravichandran O. Dabeer VLM 61 92 0 26 Mar 2023
UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes Alexander Kolesnikov André Susano Pinto Lucas Beyer Xiaohua Zhai Jeremiah Harmsen N. Houlsby 90 67 0 20 May 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 98 299 0 26 Jan 2022
Pix2seq: A Language Modeling Framework for Object Detection Ting-Li Chen Saurabh Saxena Lala Li David J. Fleet Geoffrey E. Hinton MLLM ViT VLM 223 341 0 22 Sep 2021