1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2023
Neural Network Training Strategy to Enhance Anomaly Detection Performance: A Perspective on Reconstruction Loss Amplification
YeongHyeon Park, Sungho Kang, Myung Jin Kim +4
Unsupervised anomaly detection (UAD) is a widely adopted approach in industry due to rare anomaly occurrences and data imbalance. A desirable characteristic of an UAD model is cont…
cs.CV2021★ 1 cited
Face Photo-Sketch Recognition Using Bidirectional Collaborative Synthesis Network
Seho Bae, Nizam Ud Din, Hyunkyu Park +1
This research features a deep-learning based framework to address the problem of matching a given face sketch image against a face photo database. The problem of photo-sketch match…