How can the abnormal samples generated based on paste avoid data leakage?

Question

How can the abnormal samples generated based on paste avoid data leakage?

15041909992 opened this issue a year ago · 2 comments

15041909992 commented a year ago

Answer 1 · 2023-09-14T02:55:07.000Z

I have no idea what data leakage means. We use few-shot abnormal samples (~2) for each anomaly type and increase the diversity of generated abnormal samples through random augmentation.

Answer 2 · 2023-09-14T03:06:47.000Z

Data leakage, when the data you are using to train a machine learning algorithm happens to have the information you are trying to predict. Does the random enhancement you are using contain anomaly areas in the test set? This may result in high training results