2 papers
cs.LG2026
PaAno: Patch-Based Representation Learning for Time-Series Anomaly Detection
Jinju Park, Seokho Kang
Although recent studies on time-series anomaly detection have increasingly adopted ever-larger neural network architectures such as transformers and foundation models, they incur h…
cs.CV2025
AnoStyler: Text-Driven Localized Anomaly Generation via Lightweight Style Transfer
Yulim So, Seokho Kang
Anomaly generation has been widely explored to address the scarcity of anomaly images in real-world data. However, existing methods typically suffer from at least one of the follow…