Closed wyzjack closed 3 years ago
Hi, I don't have pretrained weights available now, too long ago. If I remember correctly, there might be some wrongly labled validation images in ImageNet12, and you will need to "blacklist" those images. That might cause the difference. Also random seed might be a reason.
Hi, congrats on the nice work. But I have a problem in achieving your claimed accuracy result 70.08 of the ImageNet experiment in the paper. My run on my machine using your code with your parameter setting is 69.32.
Could you please provide (link to) your model checkpoint file, or is there any other tricks in training? Thanks .