139 citations · 164 across the 2 of their papers we have counts for
3 papers
Contextual Convolutional Neural Networks
Ionut Cosmin Duta, Mariana Iuliana Georgescu, Radu Tudor Ionescu
We propose contextual convolution (CoConv) for visual recognition. CoConv is a direct replacement of the standard convolution, which is the core component of convolutional neural n…
Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition
Ionut Cosmin Duta, Li Liu, Fan Zhu +1
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 invo…
Improved Residual Networks for Image and Video Recognition
Ionut Cosmin Duta, Li Liu, Fan Zhu +1
Residual networks (ResNets) represent a powerful type of convolutional neural network (CNN) architecture, widely adopted and used in various tasks. In this work we propose an impro…