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Neural Network Training Strategy to Enhance Anomaly Detection
  Performance: A Perspective on Reconstruction Loss Amplification

Neural Network Training Strategy to Enhance Anomaly Detection Performance: A Perspective on Reconstruction Loss Amplification

28 August 2023
Yeonghyeon Park
Sungho Kang
Myung Jin Kim
Hyeonho Jeong
H. Park
Hyeong Seok Kim
Juneho Yi
ArXivPDFHTML

Papers citing "Neural Network Training Strategy to Enhance Anomaly Detection Performance: A Perspective on Reconstruction Loss Amplification"

2 / 2 papers shown
Title
Excision And Recovery: Visual Defect Obfuscation Based Self-Supervised
  Anomaly Detection Strategy
Excision And Recovery: Visual Defect Obfuscation Based Self-Supervised Anomaly Detection Strategy
Yeonghyeon Park
Sungho Kang
Myung Jin Kim
Yeonho Lee
Hyeong Seok Kim
Juneho Yi
AAML
23
2
0
06 Oct 2023
Anomaly Detection via Reverse Distillation from One-Class Embedding
Anomaly Detection via Reverse Distillation from One-Class Embedding
Hanqiu Deng
Xingyu Li
UQCV
117
448
0
26 Jan 2022
1