This article will cover the essence of ResNetthe principles of ResNetand the applications of ResNet to help you understand Residual Neural Networks (ResNet). Residual Neural Network ResNet 1. The essence of ResNetResNet’s definition: Residual Neural Network (ResNet) is an architecture of deep convolutional neural networks (CNN) that addresses the degradation problem in training deep networks … Read more
↑ ClickBlue Text Follow the Extreme Market Platform Author丨zzk Source丨GiantPandaCV Editor丨Extreme Market Platform Extreme Market Guide The network structure of this article is manually designed, mainly improving the multi-level division convolution of feature maps, concatenation, which enhances the network’s accuracy while also reducing inference time. It feels like a combination of res2net and ghostnet, and … Read more
Evolution of CNN Architecture: From AlexNet to ResNet Hello everyone, I am Sister Liu. Today we will delve into the evolution of Convolutional Neural Networks (CNN), which is one of the most important technological developments in the field of computer vision. Background Knowledge Before the rise of deep learning, traditional image recognition methods relied on … Read more
Densely Connected Convolutional Networks Comparison with ResNet Implementation code in various languages: Architecture diagram: If the image below is unclear, you can visit this link for the first Keras implementation mentioned above. Paper: This article is recommended by zdx3578. Let’s learn and discuss together: QQ group number 325921031; WeChat group, please leave a message in … Read more
1. Faster R-CNN Model The R-CNN series networks are the most classic networks in the field of object detection, and their model update ideas are easy to understand. The object detection process is divided into three stages: candidate box generation, feature extraction, classification, and regression. R-CNN is a detection network assembled from many modules, where … Read more
↑ ClickBlue Text Follow the Jishi Platform Author丨pprp Source丨GiantPandaCV Editor丨Jishi Platform Jishi Guide The CBAM module has gained a lot of applications due to its widespread use and ease of integration. Currently, the Attention mechanism in the CV field is also very popular in papers published in 2019. Although this CBAM was proposed in 2018, … 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