Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition

This work introduces pyramidal convolution (PyConv), which is capable of processing the input at multiple filter scales. PyConv contains a pyramid of kernels, where each level involves different types of filters with varying size and depth, which are able to capture different levels of details in the scene... (read more)

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