m-3lab / awesome-industrial-anomaly-detection Goto Github PK

为什么没有看到有人用遥感领域的变化检测change detection来做工业缺陷检测呢？
只要有个模板就可以用孪生网络把不同特征的位置检测出来。
是有什么限制了这种方法吗？
图像配准吗？现在也有深度学习的端到端配准了，就算配准偏差了几个像素，change detection应该也可以正常运行吧

• Noise-to-Norm Reconstruction for Industrial Anomaly Detection and Localization (https://arxiv.org/pdf/2307.02836.pdf)

1. SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
2. Multimodal Industrial Anomaly Detection via Hybrid Fusion

Inquiry about Anomaly Detection in Electrical Infrastructures and Thermal Imaging

Hello,

I've been going through the "Awesome Industrial Anomaly Detection" repository and I'm impressed with the comprehensive collection of methods and research presented here.

I'm currently researching anomaly detection in electrical infrastructures and also exploring the use of thermal imaging cameras for anomaly detection. I was wondering if anyone is aware of previous works or state-of-the-art methods specifically tailored for:

1. Anomaly detection in electrical infrastructures.
2. Anomaly detection using thermal imaging cameras.

Furthermore, I understand that the methods proposed for RGB cameras in the state of the art might be applicable to thermal images. Additionally, multimodal methods could be use combining visual thermal images with complete temperature matrices.

Any pointers, references, or insights would be greatly appreciated. If there are datasets or benchmarks related to these topics, that would be especially helpful.

Thank you in advance for your assistance and for maintaining this valuable resource!

Best regards,
Ángel.

Hi ppl!
Thanks for sharing your work!

I have an issue related to the results that I got by training this anomaly detection model:
https://github.com/OpenAOI/anodet

With my dataset:
https://drive.google.com/drive/folders/1_OF6-_MNTskgPd5Sqqtm1-p4WqDu0Jhl?usp=sharing

You can see in this video, that the model is giving a higher anomaly score to the samples
with anomalies located on the right side of the image frame:
https://www.youtube.com/watch?v=W4-ZtpJtE5c&ab_channel=tektronix475

What is your guess about the probable cause?

Thanks a lot!

The correct title of the paper should be "MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images"

在SOTA methods with code部分，Anomalib: A Deep Learning Library for Anomaly Detection的链接打开后是别的文章，https://arxiv.org/abs/2307.12540

Are there any semi-supervised collections, such as MemSeg? If I want to read semi-supervised papers, are there any recommendations? thanks 🙏

Hi authors,

Congrats on the nice and inspiring survey!
Could you include the survey paper Explainable Anomaly Detection in Images and Videos: A
Survey ? Thanks in advance.

Best

The link in 3.7 logical-ad to Template-guided Hierarchical Feature Restoration for Anomaly Detection already failed.

Hello~非常感谢作者对工业异常检测优秀工作的整理！
SimpleNet[CVPR2023]的论文链接贴成代码链接啦，希望作者有空时修改下。
祝好！

Papers, datasets, contests, etc.