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A curated list of awesome anomaly detection resources

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Update four time-series anomaly detection applications (fraud detection) papers on the first part of the README.md

add a new anomaly detection and segmentation paper published in PR journal "Learning Deep Feature Correspondence for Unsupervised Anomaly Detection and Segmentation".

Chaos Genius is an open source ML powered analytics engine for time-series anomaly detection and root cause analysis.

Kindly add this paper that details the SAFE-OCC novelty detection approach for CNNs.

- FastFlow: The new SOTA of MVTecAD - https://paperswithcode.com/sota/anomaly-detection-on-mvtec-ad ![image](https://user-images.githubusercontent.com/7837172/143185698-0fefabdb-2255-44af-89f7-9fe8b5b9e65a.png)

Please add the paper 'ESAD: End-to-end Semi-supervised Anomaly Detection' in BMVC 2021. Thank you.

Hi @hoya012 I want to add some more papers for time series anomaly detection. However, as you know well, there are so many papers in arXiv... So I just wonder...

please adding - Locally Varying Distance Transform for Unsupervised Visual Anomaly Detection | **[ECCV' 22]** | [`[project]`] ( http://www.kind-of-works.com/LVAD_anomaly_detector.html) | [`[pdf]`] (http://www.kind-of-works.com/papers/LVAD_anomaly_detector.pdf) | [`[code]`](https://github.com/wen-yan-lin/LVAD-Locally-Varying-Anomaly-Detection)