1 citations · 2 across the 4 of their papers we have counts for
4 papers · 1 filter
Anomaly Detection by Effectively Leveraging Synthetic Images
Sungho Kang, Hyunkyu Park, Yeonho Lee +5
Anomaly detection plays a vital role in industrial manufacturing. Due to the scarcity of real defect images, unsupervised approaches that rely solely on normal images have been ext…
Scene Depth Estimation from Traditional Oriental Landscape Paintings
Sungho Kang, YeongHyeon Park, Hyunkyu Park +1
Scene depth estimation from paintings can streamline the process of 3D sculpture creation so that visually impaired people appreciate the paintings with tactile sense. However, mea…
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…
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…