Spatial Transformer Networks

NeurIPS 2015 Max JaderbergKaren SimonyanAndrew ZissermanKoray Kavukcuoglu

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... (read more)

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