HexaConv

ICLR 2018 Emiel HoogeboomJorn W. T. PetersTaco S. CohenMax Welling

The effectiveness of Convolutional Neural Networks stems in large part from their ability to exploit the translation invariance that is inherent in many learning problems. Recently, it was shown that CNNs can exploit other invariances, such as rotation invariance, by using group convolutions instead of planar convolutions... (read more)

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