CUB200 recall@1(0.575)

[kebinC]

hi, i run your code using CUB200 dataset, but i can't reappear result of recall@1(0.575). Can you give me more detail about configure of parameters, likely training batch size, labels-per-batch? And how do you train, one stage or two stages? Thanks.

[chenbinghui1]

hi, i run your code using CUB200 dataset, but i can't reappear result of recall@1(0.575). Can you give me more detail about configure of parameters, likely training batch size, labels-per-batch? And how do you train, one stage or two stages? Thanks.

57.5% is ok

[asanakoy]

@kebinC did you solve the issue? What is the highest result you get?

[kebinC]

@kebinC did you solve the issue? What is the highest result you get?

No, the highest recall@1 i got is about 0.51.

[LeeRock]

@kebinC did you solve the issue? What is the highest result you get?

No, the highest recall@1 i got is about 0.51.

hi ,i only get 0.21@1 .How do you adjust the hyper parameter in the original code ?

[LeeRock]

hi, i run your code using CUB200 dataset, but i can't reappear result of recall@1(0.575). Can you give me more detail about configure of parameters, likely training batch size, labels-per-batch? And how do you train, one stage or two stages? Thanks.

57.5% is ok

By running the original repo , I only get 0.21@1 .Would you please give me some suggestion?Thank U.

[chenbinghui1]

@kebinC
First, in line424 of train_bier.py, the axis should be 1, not 0.
Have you implemented the baseline results?
If you achieve similar baseline results, then you can try `activation', this will achieve R@1=~56.5.