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Performance on ImageNet data (and similarly sized images) #16
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The model is fully-convolutional, so it can be run at any resolution. All our empirical tests are on 64x64 though. |
Thanks for the reply! I see, any intuitions on how well it would work on 224x224 data? |
The edge effects will be slightly different, but it should work okay. |
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I notice that the model by default assumes images of dimensions 64x64. I'm curious how the model/distance metric performs for higher resolutions like that of ImageNet (224x224).
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