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ImageNet pretrained weights

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@Coderx7 Coderx7 released this 11 Apr 14:57
· 3 commits to master since this release

Here are the latest pretrained weights on ImageNet dataset.
In this version, we fixed an unintentional bug in the model, where the 1x1 convs had paddings of 1,
this is now taken care of and new weightsand models are provided.

m2 variants:

Method #Params ImageNet ImageNet-Real-Labels
simplenetv1_9m_m2(36.3 MB) 9.5m 74.23/91.748 81.22/94.756
simplenetv1_5m_m2(22 MB) 5.7m 72.03/90.324 79.328/93.714
simplenetv1_small_m2_075(12.6 MB) 3m 68.506/88.15 76.283/92.02
simplenetv1_small_m2_05(5.78 MB) 1.5m 61.67/83.488 69.31/ 88.195

m1 variants:

Method #Params ImageNet ImageNet-Real-Labels
simplenetv1_9m_m1(36.3 MB) 9.5m 73.792/91.486 81.196/94.512
simplenetv1_5m_m1(22 MB) 5.7m 71.548/89.94 79.076/93.36
simplenetv1_small_m1_075(12.6 MB) 3m 67.784/87.718 75.448/91.69
simplenetv1_small_m1_05(5.78 MB) 1.5m 61.122/82.988 68.58/87.64

Note1:
some of these weights are achieved from finetuning the previous weights to shorten the training time
some others are trained from scratch.