Edge Detection

Lightweight Backbone Dominance | VGNetG Achieves ‘Want It All Without Choices’ Lightweight Backbone Network!

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Lightweight Backbone Dominance | VGNetG Achieves 'Want It All Without Choices' Lightweight Backbone Network!

Modern efficient convolutional neural networks (CNN) always use depthwise separable convolutions (DSC) and neural architecture search (NAS) to reduce the number of parameters and computational complexity. However, they overlook some inherent features of the network. Inspired by visual feature maps and N×N (N>1) convolution kernels, this paper introduces several guidelines to further improve parameter efficiency … Read more

Overview of Convolutional Neural Networks with Examples

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Overview of Convolutional Neural Networks with Examples

Click the "Beginner's Visual Learning" above, select "Star" or "Top" Heavy content delivered to you first Researchers proposed the concept of CNN (Convolutional Neural Networks) while studying image processing algorithms. Traditional fully connected networks are a black box – they take all inputs and pass each value through a dense network, then to a hot … Read more