In 2014, the Visual Geometry Group at the University of Oxford and Google DeepMind developed a new convolutional neural network called VGGNet. VGGNet is a deeper deep convolutional neural network than AlexNet, and this model achieved second place in the 2014 ILSVRC competition, with GoogLeNet taking first place (which we will introduce later). Paper: Very … Read more
Hello everyone, I am Redstone! In the previous article: Implementing VGGNet (Theoretical Part) We detailed the network structure of VGGNet. Today, we will use PyTorch to reproduce the VGGNet network and apply the VGGNet model to solve a classic Kaggle image recognition competition problem. Let’s get started! 1. Dataset Preparation In the paper, the authors … Read more
In the previous article: Implementing the Classic CNN VGGNet (Theoretical Part) We detailed the network structure of VGGNet. Today, we will use PyTorch to reproduce the VGGNet network and apply the VGGNet model to solve a classic Kaggle image recognition competition problem. Let’s get started! 1. Dataset Preparation In the paper, the authors of AlexNet … Read more
Title: ClassifyViStA: WCE Classification with Visual Understanding through Segmentation and Attention Published Date: 2024-12-24 Abstract:Gastrointestinal bleeding is a serious medical condition that poses significant diagnostic challenges, especially in areas with limited medical resources. Wireless capsule endoscopy (WCE) has become a powerful diagnostic tool for visualizing the gastrointestinal tract, but it requires time-consuming manual analysis by … Read more