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Why the accuracy of pretrained resnet50 model is very low #199

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AAA-Fan opened this issue Jun 23, 2020 · 1 comment

AAA-Fan commented Jun 23, 2020

Test: [2570/5000] Time 0.024 (0.060) Loss 19.2762 (18.3547) Acc@1 0.000 (0.117) Acc@5 0.000 (0.381)

This is the recognition result on test dataset of imagenet.

ManoharSai2000 commented Jun 29, 2021

I have been using the same pretrained model and this is either a wrong model or an incomplete one.
You can download this here.
https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/seresnet50_ra_224-8efdb4bb.pth

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