S3Pool: Pooling with Stochastic Spatial Sampling

CVPR, 2017.

Cited by: 31|Views48
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Abstract:

Feature pooling layers (e.g., max pooling) in convolutional neural networks (CNNs) serve the dual purpose of providing increasingly abstract representations as well as yielding computational savings in subsequent convolutional layers. We view the pooling operation in CNNs as a two step procedure: first, a pooling window (e.g., 2u0026#xd7;...More

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