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As I understand, the models for "extracting feature step" and "classification step" are resnet-38, which has same architecture except additional fully connected layer at the last part.
However, the initial weight for "extracting feature step" and "classification step" are different. One is from Resnet38(AffinityNet), another is from Resnet38(MXNET).
Is there special reason for different initial weights?
Or how about using same initial weights?
The text was updated successfully, but these errors were encountered:
Thank you for sharing the code.
As I understand, the models for "extracting feature step" and "classification step" are resnet-38, which has same architecture except additional fully connected layer at the last part.
However, the initial weight for "extracting feature step" and "classification step" are different. One is from Resnet38(AffinityNet), another is from Resnet38(MXNET).
Is there special reason for different initial weights?
Or how about using same initial weights?
The text was updated successfully, but these errors were encountered: