Universal pooling is a channel-wise attention-based trainable pooling layer that generalizes existing fixed pooling operations and outperforms them on two benchmark problems by adapting to the data.
Stochastic pooling for regularization of deep convolutional neural networks
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Universal Pooling -- A New Pooling Method for Convolutional Neural Networks
Universal pooling is a channel-wise attention-based trainable pooling layer that generalizes existing fixed pooling operations and outperforms them on two benchmark problems by adapting to the data.