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Therefore, for event-based cameras, sparse convolution based on hash tables is difficult to fully realize its potential in terms of computational delay. In addition to the hash table-based sparse ...

To address the previously mentioned issue, we present a novel model in this paper, namely Graph Linear Convolution Pooling Network (GLCPN). The proposed GLCPN adopts the three-fold ideas. First, it ...

We propose a computing method for linear convolution between sequences using discrete cosine transform (DCT). Zero padding is considered as well as linear convolution using discrete Fourier transform ...

A MATLAB-based project implementing an 18-layer Convolutional Neural Network for object detection, using the CIFAR-10 dataset. It focuses on image classification into ten categories, with custom ...

Granular convolution with MATLAB. Contribute to Marielene/GranularConv development by creating an account on GitHub.