tim-learn / SHOT

code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"
MIT License
437 stars 78 forks source link

Can not reproduce office-home ODA PDA result #16

Closed ygjwd12345 closed 3 years ago

ygjwd12345 commented 3 years ago
截屏2021-04-08 下午7 57 12

I try all seeds ,but there is a big gap between my results and the paper's results. Is there any other trick?

tim-learn commented 3 years ago

Hi, do you follow the same command suggested in the readme.md? If yes,

  1. you need to check the consistency of the versions of different packages e.g., torch, torchvision with those we used
  2. you need to check the consistency of the source-only results between yours and ours in the results.md

Generally, if you can reproduce the results of SHOT for closed-set UDA, it seems that you can obtain similar results for partial-set and open-set results with ours.

Best,

Tim

ygjwd12345 commented 3 years ago

Hi, do you follow the same command suggested in the readme.md? If yes,

  1. you need to check the consistency of the versions of different packages e.g., torch, torchvision with those we used
  2. you need to check the consistency of the source-only results between yours and ours in the results.md

Generally, if you can reproduce the results of SHOT for closed-set UDA, it seems that you can obtain similar results for partial-set and open-set results with ours.

Best,

Tim

Yes, I follow the command in readme.md. Meanwhile, the close-set results are the same with yours. However, the open-set is terrible.

tim-learn commented 3 years ago

Hi, do you follow the same command suggested in the readme.md? If yes,

  1. you need to check the consistency of the versions of different packages e.g., torch, torchvision with those we used
  2. you need to check the consistency of the source-only results between yours and ours in the results.md

Generally, if you can reproduce the results of SHOT for closed-set UDA, it seems that you can obtain similar results for partial-set and open-set results with ours. Best, Tim

Yes, I follow the command in readme.md. Meanwhile, the close-set results are the same with yours. However, the open-set is terrible.

Hi, it seems that the variance you reported for some tasks like A-R is quite large. I do not know what is wrong with your results. As far as I know, our results could be re-produced by other persons in different machines. Maybe you should check the versions again? and your src-only results also similar with ours in the results.md??