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Some doubts about the predictior #53
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I have also observed similar behavior of default accuracy predictor, that predicts too large accuracy when compared to real accuracy computed on 50K validation images from ILSVRC2012. I cordially ask the authors to release the training code and details about training data for their accuracy predictor? Please, explain the way how did you trained the default accuracy predictor |
Has this issue been resolved? I'm facing the same difficulty. |
I sample 800 net ids in ofa net, initial parameter is'https://hanlab.mit.edu/files/OnceForAll/ofa_nets/'
I want to use the subnets to test the predictor in ofa/tutorial/accuracy_predictor.py, the predictor load pretrained model
'https://hanlab.mit.edu/files/OnceForAll/tutorial/acc_predictor.pth'
the picture shows a strange result,just like this:
The red dot is my own predictor
Why aren't The blue points in a straight line?
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