Succeeded in reproducing the result on Attribute Prediction (not tested the landmark detection performance) about deep-fashion-analysis-eccv2018

[ashwath98]

Hey. Could I know your system specs?[Pytorch version etc]

[ousinkou]

My reproduced result is nearly same as you, the style recall result is weird

[nashory]

@ousinkou I ended up with not trusting the "style" score, please refer to my paper accepted to ECCV 2020.
https://arxiv.org/abs/2007.06769

[ousinkou]

@nashory Well, thanks for your reply. Style scores were not reproducible using publicly released code，that's sad.

[young-yangb]

@nashory Hi, I have a question to consult you. Before we train the landmark branch and the category/attribute prediction network jointly, are we supposed to train the landmark branch solely and use its weight in category/attribute network？Any reply will be highly appreciated.

[young-yangb]

@ousinkou Hi, I have a question to consult you. Before we train the landmark branch and the category/attribute prediction network jointly, are we supposed to train the landmark branch solely and use its weight in category/attribute network？Any reply will be highly appreciated.

[zhushumin]

Hi, I have a question. How do you get your ALL@top3 58.02 and ALL@top5 64.35, I have got the similar results as you on the five attributes groups. But, my ALL@top3 and ALL@top5 is very low.

[zhushumin]

Any prediction code is very appreciate.

[abhigoku10]

@nashory can you please share the pretrained weigth file and inference code it would be helpful