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[VisDA-2020 (ECCVW)] Improved Mutual Mean-Teaching for Unsupervised Domain Adaptive Re-ID (Top-performing Solution).

Home Page: http://ai.bu.edu/visda-2020/

License: MIT License

Shell 0.97% Python 99.03%

mmt-plus's Introduction

Hi there 👋

  • 🌱 I’m currently a Principal Researcher at Tencent ARC Lab.
  • 🔭 I’m currently working on vision and multimodal foundation models.
  • 👯 I’m looking for self-motivated interns to collaborate on related research topics.
  • 📫 Reach me at my homepage.

mmt-plus's People

Contributors

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Forkers

aihill jjn037 leeeshuz xiangyu-cas ericxian1997 cv-ip thanit456 shuxjweb zhoufengfan white1973 celestezj emersonzc

mmt-plus's Issues

MMT+ 不加后处理的在visda2020 验证集上的性能

hello，恭喜大佬获得第二名，感觉后处理在加一些方法能直奔第一。一直关注你们MMT和无监督reid的工作，看了你们比赛的report，好奇MMT+不加后处理的在visda2020 验证集上的性能是多少，还有记录吗？

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