MEB-Net
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"Multiple Expert Brainstorming for Domain Adaptive Person Re-identification", ECCV 2020
我想基于本工作在端侧模型推理加速方面进行探索,但是目前在复现论文精度方面有困难 所以想请问是否可以公布weights文件?
I cannot run this code because this error, please tell me how to fix it?
你好,请问论文中提到的Voting loss位于代码中哪里呢?我在trainers.py中没有找到voting loss是如何使用的,请指点一下可以吗?感谢!
Dear authors, I was trying your repository with the default parameters in the settings duketomarket and markettoduke. I am not able to match your reported performance. I got Mean AP:...
Thanks for the interesting work you have done. However, I have some questions about performance. In your paper, you say the performance of MEB-Net is 76.0%, which is much better...