1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2025
TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
Yoon Gyo Jung, Jaewoo Park, Jaeho Yoon +4
We aim to solve unsupervised anomaly detection in a practical challenging environment where the normal dataset is both contaminated with defective regions and its product class dis…
cs.CV2023★ 1 cited
Understanding the Feature Norm for Out-of-Distribution Detection
Jaewoo Park, Jacky Chen Long Chai, Jaeho Yoon +1
A neural network trained on a classification dataset often exhibits a higher vector norm of hidden layer features for in-distribution (ID) samples, while producing relatively lower…