OpenCV (Open Source Computer Vision Library) is an open-source computer vision library that provides powerful tools for image and video processing. Most people using OpenCV may only involve basic image processing functions, such as edge detection and image filtering. However, opencv-contrib is an extension package of OpenCV that contains some advanced computer vision features. If … Read more
Li Haopeng, Wang Yu, Yao Shanglong Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022 International Journal of Anesthesiology and Resuscitation, 2023, 45(03): 313-316. DOI: 10.3760/cma.j.cn321761-20230914-01001 REVIEW ARTICLES [Review] Computer Vision (CV) technology has been widely applied in various fields of medical diagnosis and treatment. In recent years, … Read more
▲Click the above Leifeng Network to follow To some extent, the greatest advantage of deep learning is its ability to automatically create features that no one would think of. Now, deep learning has a place in many fields, especially in computer vision. Although many people are fascinated by it, the deep network is essentially a … Read more
Big Data Digest Work Students studying the Stanford CS231n open course, take note! The detailed explanations for Assignment 1 – 3 are now available! Yesterday, Big Data Digest initiated a call for participants in the course by Andrew Ng and Li Fei-Fei, and the enthusiasm for the#SpringFestivalCheckIn# activity was exceptionally high! The Digest team has … Read more
The official Chinese version of the PyTorch tutorial is here. PyTorch is one of the most popular deep learning frameworks recently, but its official Chinese tutorial has been long awaited. Recently, a complete official Chinese version of the PyTorch tutorial has been released, allowing readers to better learn and understand the relevant details of PyTorch. … Read more
Alibaba Guide: Pedestrian re-identification refers to the task of accurately finding the same person in images from different cameras given a picture of that person from one camera. This technology holds significant research and practical application value, and has recently been widely applied in fields such as traffic and security, playing an important role in … Read more
Introduction: Previously, SENet and Non-Local Neural Network (NLNet) were introduced, both of which are effective attention modules. The author found that the attention maps in NLNet respond almost consistently at different positions, and after integrating with SENet, proposed the Global Context block for global context modeling, achieving better results than SENet and NLNet in mainstream … Read more
All Fans Say: “Why Didn’t You Follow Me Sooner!” Hello everyone, I am Canshi. In the field of deep learning, there are many technical terms that can be confusing when first encountered. As you read more, you gradually get the hang of it, but it still feels somewhat lacking. Today, we will discuss a technical … Read more
This article introduces the mechanism of visual attention in computer vision. To broaden the audience and enhance readability, a progressive writing style is adopted. The entirety of Part 1 and most of Part 2 are free of professional barriers, while the subsequent sections delve deeper into the attention mechanism in computer vision. 1 Introduction Attention … Read more
If you like it, please follow CV Circle ! The attention mechanism has become very popular in recent years. So, what are the origins and current developments of the attention mechanism? Let’s follow the author, Mr. Haohao, and take a look. Author of this article: Mr. Haohao, authorized for reprint Link: https://zhuanlan.zhihu.com/p/361893386 1 Background Knowledge … Read more