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Found 2 papers, 1 papers with code
Meta-learning of Pooling Layers for Character Recognition
As part of our framework, a parameterized pooling layer is proposed in which the kernel shape and pooling operation are trainable using two parameters, thereby allowing flexible pooling of the input data.
Regularized Pooling
This means that max pooling is too flexible to compensate for actual deformations.
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