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
Introduction In this article, I will explore a common practice in representation learning—using the frozen states of pre-trained neural networks as feature extractors. Specifically, I am interested in comparing the performance of simple models trained using these extracted neural network features with that of fine-tuned neural networks initialized with transfer learning. The intended audience is … Read more
Author | Howard Source | Zhihu 1. NLP’s Head Start The history of NLP development is quite early, as the need for language processing has existed since the invention of computers. Various string algorithms have been intertwined with the history of computer development. The great Chomsky proposed generative grammar, which is the most basic framework … Read more
Brothers, today we are going to talk about a particularly “high-end” but actually very practical and interesting technology – Convolutional Neural Networks (CNN). Don’t be afraid, the name sounds quite intimidating, but actually, if we chat in plain language, you will find that, hey, this thing is not that difficult! First, we need to understand … Read more