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On the VGGFace2 paper, the authors have two versions of ResNet-50, one trained from scratch on VGGFace2 dataset, and other trained on MS-Celeb-1M and fine-tuned on VGGFace2.
Which one was converted to Keras and is in this repository?
Thank you!
The text was updated successfully, but these errors were encountered:
On the VGGFace2 paper, the authors have two versions of ResNet-50, one trained from scratch on VGGFace2 dataset, and other trained on MS-Celeb-1M and fine-tuned on VGGFace2.
Which one was converted to Keras and is in this repository?
Thank you!
I noticed that the output size of the top layer is 8631, which is the number of classes of the training set of VGGFace2, so I guess this one the trained solo on VGGFace2
On the VGGFace2 paper, the authors have two versions of ResNet-50, one trained from scratch on VGGFace2 dataset, and other trained on MS-Celeb-1M and fine-tuned on VGGFace2.
Which one was converted to Keras and is in this repository?
Thank you!
I noticed that the output size of the top layer is 8631, which is the number of classes of the training set of VGGFace2, so I guess this one the trained solo on VGGFace2
Couldn't we train it on MS Celeb and then modify the last layer to fine tune on VGGFace2?
need explanation about ResNet-50
On the VGGFace2 paper, the authors have two versions of ResNet-50, one trained from scratch on VGGFace2 dataset, and other trained on MS-Celeb-1M and fine-tuned on VGGFace2.
Which one was converted to Keras and is in this repository?
Thank you!
The text was updated successfully, but these errors were encountered: