This article was originally published on Zhihu by zibuyu9 (Associate Professor Liu Zhiyuan, Tsinghua University). Click to read the original article with the Zhihu link. If you follow natural language processing (NLP) technology on Weibo and Zhihu, you should be familiar with the hashtags #NLP is too difficult# and #Natural Language Understanding is too difficult#. … Read more
Introduction Tesla’s FSD has popularized self-supervised learning, and large models like GPT also utilize the concept of self-supervised learning. As we know, the cost of supervised learning is prohibitively high, especially for complex tasks, such as FSD systems. Tesla has collected training data exceeding 400 million kilometers, and without the help of an “automated labeling … Read more
Follow the public account “Programmers Meet GitHub“ Set as “Starred“, heavy goods will be delivered to you first. This is the 237 issue of sharing by the author Author | A San First published | Programmers Meet GitHub Hello everyone, I am A San, and today I will share with you a learning note on … Read more
In teaching competitions, the construction of knowledge graphs and question graphs is a key task. By building question graphs and designing reasonable questions, we can better organize teaching content, guide students’ learning, and improve teaching effectiveness. Here are some insights I’ve gained in this area. 1. Building the Question Graph The construction of the … Read more
Source: Smart Things This article is approximately 6000 words, and it is recommended to read for 10+ minutes. This article comprehensively analyzes the principles of face recognition technology, the situation of talent in the field, application areas, and development trends. Since the second half of the 20th century, computer vision technology has gradually developed and … Read more
With the development of society, the pace of life is constantly accelerating. How to help users quickly find valuable information in the vast sea of archives is an urgent problem that archive managers need to solve. A Knowledge Graph is a semantic network knowledge base, represented as a graphical network containing various structured knowledge that … Read more
Originally published on the frontier of deep learning technology Author: I want to encourage Nazha @ ZhihuSource: https://zhuanlan.zhihu.com/p/89587997Editor: Jishi Platform Introduction As the autumn recruitment season is underway, this article collects relevant interview questions in the field of deep learning & computer vision, covering various aspects such as deconvolution, neural networks, object detection, etc., making … Read more
Editor’s Recommendation This article mainly introduces several works on Difference Convolution led by the University of Oulu and its applications in the fields of images and videos. Author丨Fisher Yuzi @ Zhihu Link丨https://zhuanlan.zhihu.com/p/392986663 Related works have been accepted by top journals and conferences such as TPAMI, TIP, CVPR’20, ICCV’21 (Oral), IJCAI’21, and have won two international … Read more
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 is reproduced from Computer Vision WorkshopSemantic Segmentation PapersSemantic image segmentation is one of the fastest growing fields in computer vision, with a wide range of applications. In many areas, such as robotics and autonomous vehicles, semantic image segmentation is crucial as it provides the necessary context to take action based on pixel-level understanding … Read more