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How to train the network? #2

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salopge opened this issue Jul 5, 2017 · 1 comment
Open

How to train the network? #2

salopge opened this issue Jul 5, 2017 · 1 comment

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@salopge
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salopge commented Jul 5, 2017

Hello @liuziwei7,

I had looked through the paper "DeepFashion: Powering Robust Clothes Recognition and Retrieval
with Rich Annotations" but I could not find any experiments about bounding box detection. So I would like to ask something about training facts of your network.

  1. It seems that you used bounding box annotations (not the landmarks ones) and trained the public fast r-cnn (I mean, a non-customized version) with the boxes. Am I on the right track?

  2. Could you explain some details about training/testing data?
    (1) training data type: only in-shop(or consumer) images or both of them
    (2) the number of images: training and testing, respectively

  3. Could you share your evaluation methods and results?

By the way, thanks for your sharing the models and the codes! It is really awesome and helpful!

@leekyungmoon
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I came here with exactly the same issue.
It would be really helpful with the answers.

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