Giters

akshitac8 / tfvaegan

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Could you share the codes to fineturn resnet, extract visual features and generate .mat files?

wjhmike95 opened this issue · comments

commented

Hello, thanks for your great job!
I just want to try your work on a subset dataset of ImageNet. Could provide the scripts you used to fineturn the resnet101 and the datials about how you extracted visual features and stored information in .mat file. Thanks

commented

Hi @wjhmike95, Thank you for your interest in our work. For fine-tuning the resnet101, I followed the instructions mentioned in the f1-VAEGAN-D2 paper.
For storing features in .mat file I used -> https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.savemat.html