Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomaly detection, few-shot anomaly detection.
really appreciate your great work. One question, could you tell me how to locate the defect areas of the anomaly sample, for example, give a rectangle to the defect areas like most object detection methods did?
really appreciate your great work. One question, could you tell me how to locate the defect areas of the anomaly sample, for example, give a rectangle to the defect areas like most object detection methods did?