Spatial transformer networks
NIPS 2015
Volume: 28, Pages: 2017 - 2025
Published: Dec 7, 2015
Abstract
Convolutional Neural Networks define an exceptionally powerful class of models, but are still limited by the lack of ability to be spatially invariant to the input data in a computationally and parameter efficient manner. In this work we introduce a new learnable module, the Spatial Transformer, which explicitly allows the spatial manipulation of data within the network. This differentiable module can be inserted into existing convolutional...
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