Closed mjack3 closed 2 years ago
I would like to know what is cfa++. I don't catch the idea of the paper.
Thank you for your interest.
A. Table 6 presents the throughput of the proposed method. Throughput refers to the number of images that can be referenced in one second.
B. In some classes in MVTec AD, noise in the background may interfere with detection. Therefore, I used the results obtained by simultaneously using both cropped and uncropped images. Among the performances obtained from the two images, 'CFA++' is the only the best performance. In general, anomaly detection performs well on cropped images and anomaly localization on uncropped images.
Thanks.
Thanks for your answer.
Please, I'd like to do a last question.
Why do you use Image.Antialias? As far as I know, this is enabled with the antialias flag of Resize (by default) if image is a PIL. I think that this is your case.
Thanks
Hi,
There is no particular reason for it. I just wanted to make sure that 'anti-aliasing' is activated by specifying the flag :)
Thanks!
Thank you for your interest.
A. Table 6 presents the throughput of the proposed method. Throughput refers to the number of images that can be referenced in one second.
B. In some classes in MVTec AD, noise in the background may interfere with detection. Therefore, I used the results obtained by simultaneously using both cropped and uncropped images. Among the performances obtained from the two images, 'CFA++' is the only the best performance. In general, anomaly detection performs well on cropped images and anomaly localization on uncropped images.
Thanks.
But I can't find the implementation of CFA++ in the code.
CFA does not exist. It is just a cherry-picking results between cropped and entire images.
Hello and congrat for this work.
I wonder if you studied the inference time. Paper doesn't say anything about that.