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In the plain baseline architecture inspired by VGG, what rule is applied to the filter count when the feature map size is halved?
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Foundational Deep Learning Architectures: Transformers and Residual Networks @ University of Michigan - Ann Arbor
Ch.4 Residual Network Experiments and Applications - Foundational Deep Learning Architectures: Transformers and Residual Networks @ University of Michigan - Ann Arbor
ImageNet Classification and Model Variations - Foundational Deep Learning Architectures: Transformers and Residual Networks @ University of Michigan - Ann Arbor
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In the plain baseline architecture inspired by VGG, what rule is applied to the filter count when the feature map size is halved?
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