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Hello. I was wondering whether in your implementation of the Lego version of the ResNet50 which is described in your paper, you just replaced all regular convolutional layers with their Lego counterparts with corresponding kernel sizes (just like in VGG16). Also would it be possible to share your code for implementing LegoNet based on ResNet and MobileNet architectures for reproducibility reasons.
Thanks in advance.
The text was updated successfully, but these errors were encountered:
Hello. I was wondering whether in your implementation of the Lego version of the ResNet50 which is described in your paper, you just replaced all regular convolutional layers with their Lego counterparts with corresponding kernel sizes (just like in VGG16). Also would it be possible to share your code for implementing LegoNet based on ResNet and MobileNet architectures for reproducibility reasons.
Thanks in advance.
The text was updated successfully, but these errors were encountered: