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Thanks for your wonderful work. I think you are aware of finetuning Detectron with a longer time, 4x in the paper. Do you plan to train longer time? Say, 6x as in the paper "Rethinking ImageNet Pre-training" or longer until the model converges, and compare with random initialization to show the generalization and regularization characteristics of your method?
Thank you.
The text was updated successfully, but these errors were encountered:
As we noticed from the longer training experiments, there might be saturation for CNN-based model.
The gain for longer training is not significant, so we did not report the results for even longer training, such as 6x, 8x.
Thanks.
Thanks for your wonderful work. I think you are aware of finetuning Detectron with a longer time, 4x in the paper. Do you plan to train longer time? Say, 6x as in the paper "Rethinking ImageNet Pre-training" or longer until the model converges, and compare with random initialization to show the generalization and regularization characteristics of your method?
Thank you.
The text was updated successfully, but these errors were encountered: