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Hi, thanks for sharing the paper and the code.
I was wandering about the first scaling stage, the actual implementation of grid search (used to obtain the coefficient values), and I could only find clues to that in the paper.
Can you say (approx.) what is the size of the grid search (how many points in each dimension) you used in the paper? Or what do you think is a reasonable grid size?
I know it depends on the baseline network, so lets assume MobileNet V1.
Thanks again for the very interesting paper.
I have read your paper, amazing work!
Is there going to be an offiicial github implementation of EfficientDet released soon? If so, when?
Hi! I'm interested in the training code for using progressively larger image sizes during training. I wasn't able to identify this in the codebase, is that released publicly?
Thank you!
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