Source: Machine Learning Academy This article is about 10,500 words long, and it is recommended to read for over 20 minutes. In this article, we will briefly discuss the latest advances in deep learning in recent years. “Overview is always one of the quickest ways to get started in a new field!” Recent Advances in … Read more
1 Algorithm Introduction With the development of artificial intelligence, computer vision technology has become increasingly widely used. For example, in video surveillance for face recognition and identity analysis, medical diagnosis for analyzing and recognizing various medical images, fine-grained visual classification, facial image attribute recognition, fingerprint recognition, scene recognition, etc. Computer vision technology is gradually penetrating … Read more
1 1958: The Rise of the Perceptron In 1958, Frank Rosenblatt invented the perceptron, a very simple machine model that later became the core and origin of today’s intelligent machines. The perceptron is a very simple binary classifier that can determine whether a given input image belongs to a given class. To achieve this, it … Read more
Introduction On August 30, 2019, an AI face-swapping app developed by Beijing Momo Technology Co., Ltd. was launched in major mobile app markets. According to reports, users only need to upload a frontal photo of themselves, and the software can use AI technology to swap the face of a celebrity in a video, generating a … Read more
Click on “Computer Vision Life” above and select “Bookmark” Quickly obtain the latest valuable content Annotation tools are the first step in processing raw data. Whether it is detection tasks, segmentation tasks, or 3D perception and point clouds, ground truth data must be created to supervise network learning. Enterprise-level annotation solutions are generally completed through … Read more
The growth of urban populations puts pressure on the capabilities of cities as well as their infrastructure and services. To meet these demands, some cities are turning to technology. Among the most promising is computer vision, which is used to collect data for analysis and draw conclusions. This technology enables machines to interpret visual effects … Read more
Click on the above “Beginner’s Guide to Vision” to select “Star” or “Pin” Important content delivered promptly. Selected from | tryolabs Participated by | Mo Wang This is a beginner’s guide to computer vision, introducing the concepts, principles, and use cases of computer vision. The fantasy of machines simulating the human visual system is outdated. … Read more
Click the above “Beginner’s Guide to Vision“, select to add “Star” or “Pin“ Heavyweight content delivered first-hand Zhang Hao: Master’s student at the School of Computer Science, Nanjing University, focusing on computer vision and machine learning, particularly visual recognition and deep learning. Personal homepage: http://lamda.nju.edu.cn/zhangh/ Original Zhihu link: https://zhuanlan.zhihu.com/p/59205847? This code is based on PyTorch … Read more
Click the "Xiaobai Learns Vision" above, choose to add "Star" or "Top" Heavyweight content delivered at the first time Author丨Jiefa Shouzhangsheng@Zhihu Link丨https://zhuanlan.zhihu.com/p/559887437 Using data augmentation techniques can increase the diversity of images in the dataset, thereby improving the performance and generalization ability of the model. The main image augmentation techniques include: Resize Grayscale Transformation Normalization … Read more
Source｜Public Account: Heart of Autonomous Driving Autonomous vehicles require continuous environmental perception to understand the distribution of obstacles for safe driving. Specifically, 3D object detection is a crucial functional module as it can predict the category, location, and size of surrounding objects simultaneously. Generally, autonomous cars are equipped with multiple sensors, including cameras and LiDAR. … Read more