HI, I am trying to replicate the result seen in the paper. They are doing fine-grain vehicle recognition. They find that they need to add modifications to the architecture of VGG16 to get better result and remove overfitting. There is a link to a github which follows the architecture but I don’t know who to convert it to pytorch from keras (https://github.com/Xiaotian-WANG/Fine-Tune-VGG-Networks-Based-on-Stanford-Cars/blob/master/fine_tune_model.py 2)
Thanks