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
Source: DeepHub IMBA This article is approximately 3400 words and is recommended for a 7-minute read. This article introduces the theoretical basis for finding similar images and uses a system for trademark search as an example to introduce the relevant technical implementation. This article will introduce the theoretical basis for finding similar images and uses … Read more
Click on the above “Beginner Learning Vision”, select to add “Star” or “Top” Heavyweight content delivered at the first time Author: william Link: https://zhuanlan.zhihu.com/p/133301967 This article is for sharing only, please delete if infringing Feature extraction and matching is an important task in many computer vision applications, widely used in motion structure, image retrieval, object … Read more
Click the above “Visual Learning for Beginners” to select “Add to Favorites” or “Pin” Heavy content delivered at the first time Author: William Source: Full-Stack Engineer for Autonomous Driving Zhihu Column https://www.zhihu.com/people/william.hyin/columns Feature extraction and matching is an important task in many computer vision applications, widely used in motion structure, image retrieval, object detection, and … Read more