Do your CNNs have PANs?

Padding aware neurons (PANs) are convolutional filters that focus on the characterization and recognition of input border location through the identification of padding areas. By doing so, these filters introduce a spatial inductive bias into the model ("where is the end of the input?") that can be exploited by other neurons.

PANs appears automatically when using a static padding (e.g., zero padding), which is frequently done by default in most conv layer trainings. The goal of this poll is to …

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