Click on the above“Beginner Learning Vision“, select to add “Star” or “Top“ Essential content delivered promptly In this article, we will learn how to classify images of any size without using computationally intensive sliding windows. By modifying the ResNet-18 CNN framework, we will change the required input size from 224×224 to any size. First, we … Read more
Click the above“Beginner Learning Vision” to selectStar or “Pin” Heavyweight content delivered first Introduction In the field of CV, we need to master the most basic knowledge, which is the various architectures of Convolutional Neural Networks (CNNs). Whether we are dealing with image classification, segmentation, object detection, or NLP, we will use the basic CNN … Read more
Click the above“Beginner Learning Vision” and select toStar or “Pin” Important information delivered first time Source｜Daniel Liu@Zhihu, https://zhuanlan.zhihu.com/p/138555896 Multi-scale self-guided attention for medical image segmentation The method in this paper is the optimal method for medical image segmentation on the CHAOS MRI Dataset published in 2019, with a final Dice score of 86.75. Introduction: Views … Read more
Research on CNN-BiLSTM Short-term Power Load Forecasting Model Based on Attention Mechanism and ResNet WANG Lize1,2, XIE Dong1,2*, ZHOU Lifeng1,2, WANG Hanqing1,2 (1.School of Civil Engineering, University of South China, Hengyang, Hunan 421001, China;2.Hunan Engineering Laboratory of Building Environmental Control Technology, University of South China, Hengyang, Hunan 421001, China) Abstract：Short term power load forecasting is … Read more
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
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
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
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