[Brief Note] From July 17 to 18, 2017, the first session of the Frontier Lecture Series on Intelligent Automation, organized by the Chinese Association of Automation, was held in Beijing. To promote in-depth research on the theories, methods, technologies, and applications related to Generative Adversarial Networks (GAN), the first session invited several well-known scholars from … Read more
Click the card below to follow the “Computer VisionDaily” public account AI/CV heavy content delivered promptly Reprinted from: Machine Heart | Edited by: Du Wei, Chen Ping An input facial image can actually generate diverse styles of anime characters. Researchers from the University of Illinois at Urbana-Champaign have achieved this with a novel GAN transfer … Read more
Source: New Intelligence This article has 7372 words, recommended reading 10 minutes. This article organizes the speech content of Professor Tao Dacheng at the AI WORLD 2018 World Artificial Intelligence Summit on September 20. [ Introduction ] Professor Tao Dacheng from the University of Sydney, an academician of the Australian Academy of Science and chief … Read more
This article will cover the essence of ResNetthe principles of ResNetand the applications of ResNet to help you understand Residual Neural Networks (ResNet). Residual Neural Network ResNet 1. The essence of ResNetResNet’s definition: Residual Neural Network (ResNet) is an architecture of deep convolutional neural networks (CNN) that addresses the degradation problem in training deep networks … Read more
Brand New Portrait Recognition Technology The key to a successful portrait recognition system lies in having cutting-edge core algorithms that yield practical recognition rates and speeds. It integrates various specialized technologies such as artificial intelligence, machine learning, model theory, and video image processing. How to improve the algorithm so that the portrait recognition technology can … Read more
New Intelligence Report Editor: LRS [New Intelligence Introduction] Inspired by the human visual system, MVDiffusion++ combines computational fidelity with the flexibility of human vision, generating dense, high-resolution images with pose from any number of unposed images, achieving high-quality 3D model reconstruction. The human visual system exhibits remarkable flexibility. For example, in the left image above, … Read more
Click the card below to follow the “CVer” public account AI/CV heavy content delivered first-hand Click to enter —>【Mamba and diffusion model】 WeChat group Add WeChat: CVer5555, the assistant will add you to the group! Scan the QR code below to join the CVer academic community! You can get the latest top conference/top journal paper … Read more
Click on the “Deep Learning Lecture Hall” above to subscribe! The Deep Learning Lecture Hall is dedicated to promoting the latest technologies, products, and activities in artificial intelligence and deep learning. Host Liu Jinyang: First, let’s invite Teacher Wang Naiyan to give us a talk on “Applications of Deep Learning in Art”. In the past … 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
Click the card below to follow the WeChat public account “Python for Beginners” Object detection is a core task in computer vision that drives the development of technologies ranging from autonomous vehicles to real-time video surveillance. It involves detecting and locating objects within an image, and recent advances in deep learning have made this task … Read more