hashmatshadab / apr Goto Github PK

Thank you for your insightful work!
As your suggestion, in cross-domain setting, I train a single surrogate model by Rotation mode on CoCo-2017(41k). But I get following Top-1 (%) acc:

Resnet-152,37.76
VGG-19,27.48
Inception-V3,38.82
DenseNet-121,35.22
WRN-101,32.62
MobileNet-v2,21.72
senet,47.62
Average accuracy,34.46

which is far worse than 23.31 reported in paper. Could you help me?

• I use the COCO2017 Test images (41K/6GB) to train the surrogate model. I am not sure if it's the same as your training data.
• I train the surrogate model for 50 epoch (i.e., rotate_0.pth~rotate_49.pth) and use rotate_49.pth to generate adversarial examples.
• The batchsize is set as 64 as default in your codes.

Thank you very much! Looking forward to your reply~