arrow
返回

MTDiff: Visual anomaly detection with multi-scale diffusion models

delete2024-10-01
delete0
PRE
AI
X
Xiangjian He
DOI:10.1016/j.knosys.2024.112364delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
Advancements in computer vision have fueled rapid developments in unsupervised anomaly detection, but current methods often encounter limitations when addressing anomalies with varying scales, and the intricate pipelines that require significant tuning efforts further hinder the usability. In this work, we propose MTDiff, a novel anomaly detection method comprising diffusion models built on different scales. In essence, the constructed scale-specific branches and their incorporation can enhance the pattern coverage, thus improving performance. MTDiff involves two parts: reconstruction that repairs the anomalous region to pseudo-normal, and detection that carefully compares and localizes the anomalies. Instead of the typical forward process of diffusion, we construct a partial Markov chain to improve the reconstruction quality. During the discrimination, we construct a simple but effective detector that operates on feature-level to better utilize the rich contextual information. MTDiff comes with a concise training pipeline, with optimized diffusion iterations ensuring the efficiency. Sufficient experiments reveal that it outperforms the state-of-the-art approaches, showing superior stability and robustness in both image- and pixel-level anomaly detection. The related code is available at https://github.com/vergilben/MTDiff.
Keyword:
Anomaly detection
Image processing
Diffusion probabilistic model
Pattern recognition
Visual application

期刊

K
Knowledge-Based Systems
IF:
7.6
论文数:
1.3W
被引数:
4.5W

机构

U
University of Nottingham Ningbo China
学者数:
2.9K
论文数: 3.1K
被引数: 0
S
shanghai institute of technology
学者数:
5.8K
论文数: 3.7K
被引数: 1
引用论文

引用论文

err分享
err收藏
T cells and tumours
err2001-06-28
err0
errOAAI
errDrew Pardoll
err分享
err收藏
A nondestructive automatic defect detection method with pixelwise segmentation
err2022-04-01
err66
PREAI
errYang, Lei; Fan, Junfeng; Huo, Benyan; Li, En; Liu, Yanhong
err分享
err收藏
err分享
err收藏
Electrochemically assisted micro localized grafting of aptamers in a microchannel engraved in fluorinated thermoplastic polymer Dyneon THV
err2015-01-01
err0
PREAI
errC. Perréard; Y. Ladner; F. d'Orlyé; S. Descroix; V. Taniga; A. Varenne; F. Kanoufi; C. Slim; S. Griveau; F. Bedioui
err分享
err收藏
学者 查看更多内容