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yxgeee / MMT

[ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.
https://yxgeee.github.io/projects/mmt
MIT License
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About experimental result #39

Closed GuaPiQ closed 3 years ago

GuaPiQ commented 3 years ago

作者您好，我复现了您的代码，在用kmeans 、resnet50、dukeTomarket的情况下mAP达到了68.7%，top1达到85.8%。但是和您论w文中的准确性mAP=71.2%, top1=87.7%还差一点。我用了一个GPU，batchsize=16。想问问您是因为batchsize的原因吗。

yxgeee commented 3 years ago

应该是的，batchsize和GPU数量会有影响

GuaPiQ commented 3 years ago

哦哦，好的，谢谢您。