# Anomaly Detection via Reverse Distillation from One-Class Embedding

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/anomaly-detection-via-reverse-distillation-from-one-class-embedding/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hanqiu Deng,Xingyu Li |
| Citations | 759 |
| DOI | 10.1109/cvpr52688.2022.00951 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4312772600 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Xingyu Li](https://scholariq.org/researchers/xingyu-li/)

## Paper primary topic

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)

## Paper topics

- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Smart Grid Security and Resilience](https://scholariq.org/topics/smart-grid-security-and-resilience/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.