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Add ConvFeatures block to represent backbone outputs #278

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Add ConvFeatures block to represent backbone outputs #278

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@lorenzoh lorenzoh commented Feb 4, 2023 •
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Block representing features from a convolutional neural network backbone
with n feature channels and N spatial dimensions.

For example, a 2D ResNet's convolutional layers may produce a hxwxch output
that is passed further to the classifier head.

PR Checklist

  • Tests are added
  • Documentation, if applicable

@lorenzoh lorenzoh changed the title Add ConvFeatures block to represent bakbone outputs Add ConvFeatures block to represent backbone outputs Feb 4, 2023
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