39 citations · 52 across the 3 of their papers we have counts for
3 papers
eess.IV2021★ 39 cited
AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning
Jouwon Song, Kyeongbo Kong, Ye-In Park +2
Anomaly segmentation, which localizes defective areas, is an important component in large-scale industrial manufacturing. However, most recent researches have focused on anomaly de…
cs.LG2021★ 11 cited
Core-set Sampling for Efficient Neural Architecture Search
Jae-hun Shim, Kyeongbo Kong, Suk-Ju Kang
Neural architecture search (NAS), an important branch of automatic machine learning, has become an effective approach to automate the design of deep learning models. However, the m…
cs.CV2021★ 2 cited
Attention Map-guided Two-stage Anomaly Detection using Hard Augmentation
Jou Won Song, Kyeongbo Kong, Ye In Park +1
Anomaly detection is a task that recognizes whether an input sample is included in the distribution of a target normal class or an anomaly class. Conventional generative adversaria…