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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
Recently, a paper titled “Planning-oriented Autonomous Driving” authored by the Shanghai Artificial Intelligence Laboratory, Wuhan University, and SenseTime, stood out from a total of 9155 submissions to win the Best Paper Award at CVPR 2023. This is the first best paper from a Chinese research team at the three major international conferences in computer vision … Read more
Click on the above“Beginner’s Guide to Vision”, select to add “Star” or “Pin” Significant content delivered promptly Source: AI Park Author: Mehdi Amine Translation: ronghuaiyang Introduction Capturing and interpreting the journey of light. This article provides an overview of the systems for implementing computer vision, focusing on breadth rather than depth. To balance this approach, … Read more
New Intelligence Column Author: Zhang Hao (Nanjing University) This article is sourced from: New Intelligence 【Introduction】Deep learning has become one of the fastest growing and most exciting fields in machine learning. This article introduces key concepts in computer vision, highlighting the applications of deep learning in tasks such as network compression, fine-grained image classification, image … Read more
Introduction In recent years, the development of the field of computer science has attracted much attention, and pursuing a master’s degree in computer science has become a goal for many students. A Google Scholar search for keywords like computer vision and natural language processing yields hundreds of thousands of results. Among the many popular directions, … Read more
Source｜Heart of Autonomous Driving Image segmentation in computer vision is an important subfield that aims to assign each pixel in an image to different categories or objects. This technology is widely used in various applications such as image recognition, scene understanding, and medical image processing, demonstrating significant practical value. Previously, there were roughly two methods … Read more
Computer vision technology encompasses many algorithms that can understand images (including pictures and videos). They are the foundation of many innovative key technologies—from autonomous vehicles to intelligent industrial machinery, even software on mobile phones—and are the basis for the machines we are striving to build that can understand and learn from the surrounding world like … Read more
Click the above“Beginner Learning Vision” to select “Star” or “Top” Important content delivered promptly For academic sharing only, does not represent the stance of this public account. Contact for deletion if infringement occurs. Reprinted from: Author丨Dmitrii LabelMe Address: https://github.com/wkentaro/labelme What can you do with it? LabelMe is an open-source image polygon annotation tool based on … Read more
Click on the above “Beginner’s Guide to Vision“, select to add “Starred” or “Pinned“ Important content delivered first-hand What is it useful for? Depth maps have a wide range of applications in computer vision, such as foreground-background segmentation (used for background blur, beautification, re-focusing, etc.), 3D reconstruction (used for robot navigation, 3D printing, visual effects … Read more