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For MobileNetV3, seems that you have done several modifications on the original implementation: disable h-swish, remove non-linear funtion in DW, add extra non-linear funtion after SElayer, change last layer to GDC, etc.
Does doing this particularly help a lot in face recognition task? What's the performance of the vanilla MobileNetV3? And what's you training strategy?
Thanks a lot.
The text was updated successfully, but these errors were encountered:
For MobileNetV3, seems that you have done several modifications on the original implementation: disable h-swish, remove non-linear funtion in DW, add extra non-linear funtion after SElayer, change last layer to GDC, etc.
Does doing this particularly help a lot in face recognition task? What's the performance of the vanilla MobileNetV3? And what's you training strategy?
Thanks a lot.
GhostNet also made similar changes. What is the reason?
Hi,
For MobileNetV3, seems that you have done several modifications on the original implementation: disable h-swish, remove non-linear funtion in DW, add extra non-linear funtion after SElayer, change last layer to GDC, etc.
Does doing this particularly help a lot in face recognition task? What's the performance of the vanilla MobileNetV3? And what's you training strategy?
Thanks a lot.
The text was updated successfully, but these errors were encountered: