Image Edge and Contour Extraction Based on Deep Learning

Image Edge and Contour Extraction Based on Deep Learning

Click the “Visual Learning for Beginners” above, and choose to add “Star” or “Pin“ Important content delivered first-hand Introduction: The extraction of edges and contours is a very tricky task, as details may be obscured by overly strong image lines. Texture itself is a weak edge distribution pattern, and hierarchical representation is a commonly used … Read more

Liquid Crystal and Display | Digital Image Processing Special Issue

Liquid Crystal and Display | Digital Image Processing Special Issue

Banner | Promotion Cover of Volume 38, Issue 11 of “Liquid Crystal and Display” 2023 This Special Issue PrefaceFrom fullerenes to carbon nanotubes and then to graphene, carbon-based nanomaterials play a significant role in the development of modern science and technology due to their superior physical, mechanical, and chemical properties. Carbon dots, as an emerging … Read more

HDR Image Processing Algorithm Based on Multi-Feature Fusion

HDR Image Processing Algorithm Based on Multi-Feature Fusion

Banner Abstract The high dynamic range image processing algorithm is a key technology to enhance image quality, characterized by enhancing image details, improving light and shadow effects, and adapting to complex scenes. It has wide applications in photography and video production. Among them, promoting the development of HDR image processing algorithms for portrait scenes has … Read more

Tsinghua’s Li Yuan: Building Edge AI Server GPUs

Tsinghua's Li Yuan: Building Edge AI Server GPUs

Click the blue research report sharing platform above and follow us to find us. Thank you! On the evening of May 11, I met with Dr. Li Yuan, an alumnus from Tsinghua’s class of ’89. I have been following Dr. Li’s work on AI chips (see the link for breakthroughs in deep learning AI chips … Read more

Dell Technologies Provides Comprehensive Solutions for Edge AI

Dell Technologies Provides Comprehensive Solutions for Edge AI

Article sourced from: Dell EMC Solutions Subscription Account There is a job like this Basically does nothing on ordinary days Just sitting on a high chair Looking straight ahead No chatting, no sleeping, no playing with phones Even going to the bathroom has to wait until the shift change And this state often has to … Read more

Edge AI – Open & Closed Area Endpoint Detection

Edge AI - Open & Closed Area Endpoint Detection

The Importance of Edge AI (Endpoint AI) Edge computing can effectively reduce the consumption of computational resources and alleviate the pressure on cloud computing centers or servers. Edge computing can reduce data transmission latency. Especially in scenarios where real-time performance is required, such as autonomous driving and real-time translation, data transmission delays can severely impact … Read more

Edge Computing: The Sword-Wielding Guardian of Smart Manufacturing

Edge Computing: The Sword-Wielding Guardian of Smart Manufacturing

The internet giants’ changes in biweekly holidays can trend, but many heavier jobs go unnoticed. Quality inspectors for electronic devices typically need to complete over 10,000 manual inspections of parts every day, averaging a few dozen products per minute, and it’s not uncommon to work continuously for over 10 hours. High workloads lead to workers … Read more

LoRA: Fine-Tuning SD Models Efficiently

LoRA: Fine-Tuning SD Models Efficiently

Hello everyone, this is Goodnote. This article provides a detailed introduction to the SD model fine-tuning method LoRA, including dataset preparation, model fine-tuning process, inference process, advantages and disadvantages, etc. Paper Paper URL:LoRA: Low-Rank Adaptation of Large Language Models [1] Concept LoRA (Low-Rank Adaptation of Large Language Models) is a technique for efficiently fine-tuning large … Read more

LoRA: Unlocking Low-Rank Adaptation Optimization

LoRA: Unlocking Low-Rank Adaptation Optimization

Click the blue text to follow us 01 Introduction In the fields of machine learning and deep learning, optimizing model parameters is key to improving model performance. Traditional optimization methods, such as Stochastic Gradient Descent (SGD), are effective but may encounter limitations in computational resources and time when dealing with large-scale models. To address these … Read more

Understanding the Technologies Involved in a Robot Project

Understanding the Technologies Involved in a Robot Project

Click belowCard to follow the WeChat public account “New Machine Vision” Important content delivered to you first Author: Chen Bu Chen @ Zhihu Editor: Dong An Yin Wei @ A Little Artificial Intelligence Original: https://zhuanlan.zhihu.com/p/634848960 【Introduction】Many friends are very interested in robots, but do not know what parts make up a robot system and how … Read more