2 papers
cs.CV2023
Noise-to-Norm Reconstruction for Industrial Anomaly Detection and Localization
Shiqi Deng, Zhiyu Sun, Ruiyan Zhuang +1
Anomaly detection has a wide range of applications and is especially important in industrial quality inspection. Currently, many top-performing anomaly-detection models rely on fea…
eess.IV2022
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection
Kun Xiang, Xing Zhang, Jinwen She +4
As the COVID-19 pandemic puts pressure on healthcare systems worldwide, the computed tomography image based AI diagnostic system has become a sustainable solution for early diagnos…