Source: Fundamentals and Advanced Topics in Deep Learning This article is approximately 3100 words and is recommended for a 10-minute read. Feature extraction is an important topic in computer vision. Whether it is SLAM, SFM, 3D reconstruction, or other important applications, the foundation lies in the reliable extraction and matching of feature points across images. … Read more
This article will explain what problems CNN solves,the principles of human vision,the basic principles of CNN,The typical CNN and its practical applications in four aspects, helping you to understand Convolutional Neural Networks (CNN) in one article. 1.What Problems CNN Solves There are two major challenges in image processing: Huge Data Volume: Images are composed of … Read more
Machine Heart reports Editors: Chen Ping, Xiao Zhou Recently, Anthropic announced a significant breakthrough in understanding the internal mechanisms of artificial intelligence models. Anthropic has identified how to characterize millions of concepts in Claude Sonnet. This is the first detailed understanding of modern production-level large language models. This interpretability will help us improve the safety … Read more
Artificial intelligence, like immortality and interstellar travel, is one of humanity’s greatest dreams. Although computer technology has made significant progress, no computer has yet been able to produce a “self” awareness. However, since 2006, the field of machine learning has made groundbreaking advancements. The Turing test is at least not as unreachable as it once … Read more
Deep learning, also known as Deep Learning, is a learning algorithm and an important branch of artificial intelligence. In just a few years, deep learning has revolutionized algorithm design in various fields such as speech recognition, image classification, and text understanding, gradually forming a new model that starts from training data, goes through an end-to-end … Read more
Click the above“Beginner’s Visual Learning” to selectStar or “Top” Heavyweight content delivered promptly Introduction The KNN algorithm, or K-Nearest Neighbors algorithm, is a type of supervised learning algorithm that essentially finds the K instances closest to a given test sample A among the provided training samples, and then counts the most frequent class among these … Read more
Click the above “Beginner’s Guide to Vision” to choose to add “Star” or “Pin“ Important information delivered promptly The author believes that deep learning is just a tool for computer vision, not a panacea. Do not use it just because it is popular. Traditional computer vision techniques can still shine, and understanding them can save … Read more
Click the above “Beginner Learning Vision“, choose to add “Starred” or “Top“ Heavyweight content delivered first time Introduction Today, computer vision (CV) has become one of the main applications of artificial intelligence (e.g., image recognition, object tracking, multi-label classification). In this article, we will understand some of the main steps that constitute a computer vision … Read more
Click on the “Beginner’s Guide to Vision” above, and select “Star” or “Top“ Heavyweight content delivered promptly Introduction Image stitching is a method of merging multiple overlapping images of the same scene into a larger image, which is of great significance in fields such as medical imaging, computer vision, satellite data, and military target automatic … Read more
Click on the above“Beginner Learning Vision”, select to add“Starred” or “Top” Heavy content delivered first Introduction The so-called “plugin” is something that can add value, is easy to implement, and truly plug-and-play. The “plugins” listed in this article can enhance the deformation capabilities of CNNs like translation, rotation, scale, etc., or multi-scale feature extraction, and … Read more