Anomaly Detection by Adapting a pre-trained Vision Language Model

arXiv:2403.09493v1 Announce Type: new
Abstract: Recently, large vision and language models have shown their success when adapting them to many downstream tasks. In this paper, we present a unified framework named CLIP-ADA for Anomaly Detection by Adapting a pre-trained CLIP model. To this end, we make two important improvements: 1) To acquire unified anomaly detection across industrial images of multiple categories, we introduce the learnable prompt and propose to associate it with abnormal patterns through self-supervised learning. 2) To fully …

abstract ada anomaly anomaly detection arxiv clip cs.cv detection framework improvements language language model language models paper success tasks them type vision vision language model