Open BehzadBozorgtabar opened 11 months ago
Hi, our method is trained on Dataset A (e.g., MVTec AD) and tested on Dataset B (e.g., VisA). It is worth noting that although we use the test set of Dataset A during training, the training and testing are not conducted on the same dataset.
As far as I understood, unlike WinClip for anomaly segmentation, the original ground truth of test images is used for model adaptation, while the final performance is reported on the same test images. Can you please confirm?