Introduction “Plugins” are enhancements that can be easily integrated into existing systems, truly embodying the plug-and-play concept. The “plugins” discussed in this article can enhance the CNN’s ability to handle transformations like translation, rotation, and scale, as well as multi-scale feature extraction, and can be found in many SOTA networks. Pytorch training camp, master coding … Read more
↑ ClickBlue Text Follow the Extreme City Platform Author丨Peter Pan Editor丨Extreme City Platform Extreme City Guide So-called “plug-ins” should enhance the performance while being easy to integrate, truly achieving plug-and-play functionality. The “plug-ins” discussed in this article can enhance the CNN’s capabilities in translation, rotation, scaling, and multi-scale feature extraction, making their presence felt in … Read more
Convolutional Neural Networks (CNN) are a type of feedforward neural network that includes convolutional computations and has a deep structure. They are one of the representative algorithms of deep learning. This article aims to introduce the basic concepts and structures of CNN, as well as the fundamental ideas behind CNN architecture design. This article is … Read more
01 Introduction This article reviews some of the more ingeniously designed and practical “plugins” used in CNN networks. The so-called “plugins” are modules that do not alter the main structure of the network and can be easily integrated into mainstream networks to enhance their feature extraction capabilities, achieving a plug-and-play functionality. Many similar reviews claim … Read more