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Hi, I noticed that your ResNet-50 will not use a Bottleneck, the orignal implementation does however: https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py#L231 https://github.com/switchablenorms/Switchable-Normalization/blob/master/face_recognition/models/backbones/resnet.py#L106
Is this on purpose?
The text was updated successfully, but these errors were encountered:
yes, it is on purpose. This model reference on insightface
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Hi, thanks for the reference!
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Hi,
I noticed that your ResNet-50 will not use a Bottleneck, the orignal implementation does however:
https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py#L231
https://github.com/switchablenorms/Switchable-Normalization/blob/master/face_recognition/models/backbones/resnet.py#L106
Is this on purpose?
The text was updated successfully, but these errors were encountered: