Anomaly Detection by Adapting a pre-trained Vision Language Model

Anomaly Detection by Adapting a pre-trained Vision Language Model

14 March 2024

Dingkang Liang

Papers citing "Anomaly Detection by Adapting a pre-trained Vision Language Model"

5 / 5 papers shown

Title
VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection Liangyu Zhong Joachim Sicking Fabian Hüger Hanno Gottschalk VLM 35 0 0 25 Sep 2024
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation Jongheon Jeong Yang Zou Taewan Kim Dongqing Zhang Avinash Ravichandran O. Dabeer VLM 75 186 0 26 Mar 2023
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 114 448 0 26 Jan 2022
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
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 330 2,267 0 02 Sep 2021