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cannot reproduce the results in the paper #6

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shuxjweb opened this issue Jul 23, 2020 · 4 comments
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cannot reproduce the results in the paper #6

shuxjweb opened this issue Jul 23, 2020 · 4 comments

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@shuxjweb
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Thanks for your insightful work. I have runned the uda code for duke to market. The result is rank1: 86.9%, mAP:71.6, which are 3.39% less than that in the paper (rank1: 90.3%, map: 76.7%). Why?

@yxgeee
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yxgeee commented Jul 23, 2020

How many GPUs did you use?

@yxgeee
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yxgeee commented Jul 23, 2020

The number of GPUs as well as the number of batch_size on each GPU indeed affect the final performance. (#1)
It is an open question in both fully-supervised and unsupervised re-ID tasks. Maybe it is due to some specific features on re-ID datasets.

@yxgeee
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yxgeee commented Jul 23, 2020

If you adopted all the same settings as I provided in the scripts (e.g. 4 GPUs, 64 batch_size, etc.), but still cannot reproduce the results. Please tell me and I will run this code again to find the issue.
By the way, you could also try to use our OpenUnReID codebase, which also supports SpCL algorithm and achieves better performances.

@WangWenhao0716
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The results can be reproduced for me. Sometimes the results are a little smaller than reported (75.XX) or a little bigger than reported (77.XX).

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