SinglePathOneShot
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Evolution search results
Hi. Sorry to bother again.
I tried to run your evolution search code, with checkpoints-150000 provided. The results look like this:
which is nowhere near the results shown in paper (over 68 in general).
Trying to dig out why, I found that recalculating BN on 20k images brings little improvement (less than one percent) to validation performance, compared to inheriting BN directly from the supernet. I'm not sure whether there is something wrong here. Have you guys observed a similar phenomenon?
Or, my wild guess is, the supernet you have shared is not a well-trained supernet?
我感觉不用BN重新标定,搜索的子网的精度反而会更好,也许作者为了筛选出更好的,所以需要BN标定?