Comments (4)
yes, s and m are important hyperparameter, which we optimized
from kaggle-landmark-recognition-2020-1st-place.
What is the best value of your optimization? You have quite a few configx.py, so I am not sure which one is your final choice.
from kaggle-landmark-recognition-2020-1st-place.
If I remember correctly, we used slightly different m depending on if we also trained on GLDv1. Having slightly different m values per config, also helped diversity in our ensemble.
from kaggle-landmark-recognition-2020-1st-place.
Thanks a lot for your prompt response.
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