https://github.com/tootouch/duad
Unofficial Implementation for Deep Unsupervised Anomaly Detection (DUAD)
https://github.com/tootouch/duad
Last synced: 10 months ago
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Unofficial Implementation for Deep Unsupervised Anomaly Detection (DUAD)
- Host: GitHub
- URL: https://github.com/tootouch/duad
- Owner: TooTouch
- License: mit
- Created: 2023-01-15T04:35:35.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-02-15T13:01:05.000Z (over 3 years ago)
- Last Synced: 2025-03-01T06:43:28.055Z (over 1 year ago)
- Language: Python
- Size: 1.8 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# DUAD
Unofficial Implementation for [Deep Unsupervised Anomaly Detection (DUAD)](https://openaccess.thecvf.com/content/WACV2021/papers/Li_Deep_Unsupervised_Anomaly_Detection_WACV_2021_paper.pdf)
# Environments
**docker image**: nvcr.io/nvidia/pytorch:22.12-py3