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Hi.
It seems that the scale and shift are omitted in all feature transformation layers when test. https://github.com/hytseng0509/CrossDomainFewShot/blob/master/methods/LFTNet.py#L189 https://github.com/hytseng0509/CrossDomainFewShot/blob/master/methods/backbone.py#L207. This means when testing, the proposed method is the same as the base model. Is this right?
The text was updated successfully, but these errors were encountered:
Yes, the feature-wise transformation layers are used only during the training phase to improve the model generalization.
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Hi.
It seems that the scale and shift are omitted in all feature transformation layers when test.
https://github.com/hytseng0509/CrossDomainFewShot/blob/master/methods/LFTNet.py#L189
https://github.com/hytseng0509/CrossDomainFewShot/blob/master/methods/backbone.py#L207. This means when testing, the proposed method is the same as the base model. Is this right?
The text was updated successfully, but these errors were encountered: