4 papers
AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed and Low Tolerance
Joao P. C. Bertoldo, Dick Ameln, Ashwin Vaidya +1
Recent advances in visual anomaly detection research have seen AUROC and AUPRO scores on public benchmark datasets such as MVTec and VisA converge towards perfect recall, giving th…
Gaussian Image Anomaly Detection with Greedy Eigencomponent Selection
Tetiana Gula, João P C Bertoldo
Anomaly detection (AD) in images, identifying significant deviations from normality, is a critical issue in computer vision. This paper introduces a novel approach to dimensionalit…
Heuristic Hyperparameter Choice for Image Anomaly Detection
Zeyu Jiang, João P. C. Bertoldo, Etienne Decencière
Anomaly detection (AD) in images is a fundamental computer vision problem by deep learning neural network to identify images deviating significantly from normality. The deep featur…
Visualization for Multivariate Gaussian Anomaly Detection in Images
Joao P C Bertoldo, David Arrustico
This paper introduces a simplified variation of the PaDiM (Pixel-Wise Anomaly Detection through Instance Modeling) method for anomaly detection in images, fitting a single multivar…