Color Image Classification on Edge by Fusing Visual Feature Extractors and Weightless Neural Networks
Weightless Neural Networks (WNNs) are a promising alternative for the image classification problem in an edge computing environment due to their low computational cost. However, the direct use of this model requires converting the image to grayscale to facilitate the conversion of an image into its binary representatio...