BOOK-CHAPTER

Feature Reconstruction via Reverse Distillation for Multi-class Anomaly Detection

Jiaxiang WangHuiming XuZheyuan CaiTu Xiao-Lin

Year: 2025 Lecture notes in computer science Pages: 316-328   Publisher: Springer Science+Business Media
Keywords:
Computer science Anomaly detection Distillation Class (philosophy) Feature (linguistics) Pattern recognition (psychology) Artificial intelligence Anomaly (physics) Data mining Chromatography Chemistry

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
21
Refs
0.39
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications
Artificial Immune Systems Applications
Physical Sciences →  Engineering →  Biomedical Engineering

Related Documents

JOURNAL ARTICLE

A unified multi‐class anomaly detection model based on reverse distillation

Mingxi FuZhongliang Fu

Journal:   IET Image Processing Year: 2024 Vol: 19 (1)
JOURNAL ARTICLE

Multi-Scale Feature Distillation for Anomaly Detection

Xincheng YaoRuoqi LiChongyang ZhangKefeng HuangKaiyu Sun

Journal:   2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) Year: 2021 Vol: 1 Pages: 486-491
JOURNAL ARTICLE

Masked feature reconstruction distillation for unsupervised anomaly detection

Liang XiaoYing Chen

Journal:   Signal Image and Video Processing Year: 2024 Vol: 19 (1)
JOURNAL ARTICLE

Feature Enhancement With Reverse Distillation for Hyperspectral Anomaly Detection

Wenping JinFeng DangLi Zhu

Journal:   IEEE Geoscience and Remote Sensing Letters Year: 2024 Vol: 21 Pages: 1-5
© 2026 ScienceGate Book Chapters — All rights reserved.