6 citations · 11 across the 2 of their papers we have counts for
Showing cs.CVShow all
2 papers · 1 filter
cs.CV2024
PUAD: Frustratingly Simple Method for Robust Anomaly Detection
Shota Sugawara, Ryuji Imamura
Developing an accurate and fast anomaly detection model is an important task in real-time computer vision applications. There has been much research to develop a single model that…
cs.CV2021★ 5 cited
MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detection
Ryuji Imamura, Kohei Azuma, Atsushi Hanamoto +1
Anomalies in images occur in various scales from a small hole on a carpet to a large stain. However, anomaly detection based on sparse coding, one of the widely used anomaly detect…