Recently, the research team of the National Key Laboratory of Space-Based Integrated Information System at the Software Institute had their paper Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation accepted by the top journal in the field of computer vision, the International Journal of Computer Vision (IJCV). The paper presents a … Read more
Development Series of GANs: PGGAN and SinGAN In the previous article, we introduced the basics of GANs (Generative Adversarial Networks) and some series of GANs. In the following series, we will continue to introduce some classic GANs. Introduction to GANs Development Series of GANs: CGAN, DCGAN, WGAN, WGAN-GP, LSGAN, BEGAN 1. PGGAN: Progressive Growing GAN … Read more
Recently, Associate Professor Yi Shi’s team from the School of Mechanical and Electrical Engineering at Chengdu University of Technology conducted research on the issue of edge and texture blurring in fused images of infrared and visible light. The related paper titled “Infrared and Visible Image Fusion Based on Blur Suppression Generative Adversarial Network” was published … Read more
Antibodies are a class of important biotherapeutics, characterized by significant specificity and effectiveness. However, the high cost and long development time of monoclonal antibody therapies pose challenges for antibody treatment. Therapeutic antibodies must respond quickly to pathogens while ensuring safety. Due to the biophysical properties of many antibodies, they tend to aggregate, precipitate, or undergo … Read more
Proofread by: Zhu Jianghua Feng To ensure the quality of our publications and establish a good reputation, Data Dispatch has establishedthe “Typo Fund”, encouragingreaders to actively report errors. If you find any errors while reading this article, please leave a comment at theend of the article, or provide feedback in thebackground. After confirmation by the … Read more
This article is a work by Professor Rufin VanRullen from the Université de Toulouse, published in Communications Biology in 2019, titled “Reconstructing faces from fMRI patterns using deep generative neural networks“. DOI: 10.1038/s42003-019-0438-y. Abstract Despite reliably decoding different categories from fMRI brain responses, distinguishing visually similar inputs, such as different faces, has proven more challenging. … Read more
CCF published a new issue of the “China Computer Science and Technology Development Report” in October 2018, detailing the research progress in ten directions, including the deep integration of AI and system software. We will share the highlights of the report in installments. Please join CCF and log in to the CCF digital library to … Read more
Mathematical Derivation of GAN Author: Sherlock Source: Machine Learning Algorithms and Natural Language Processing Previously, we discussed the basic idea of GAN. Recently, I reviewed some GAN papers and happened to watch a course by Professor Li Hongyi, finding the mathematical derivation quite interesting, so I decided to write it down for future reference. First, … Read more
1. Introduction to GAN “Foodie, food spirit, foodies are the best of people”. This GAN foodie is not the same as that foodie. The GAN we are going to discuss is the Generative Adversarial Network proposed by Goodfellow in 2014. So what is so magical about GAN? Conventional deep learning tasks such as image classification, … Read more
Follow our public account to discover the beauty of CV technology This article shares a recent literature review on super-resolution titled ‘Generative Adversarial Networks for Image Super-Resolution: A Survey’. It discusses the performance, advantages, disadvantages, complexity, challenges, and potential research points of 193 related papers. Specific information is as follows: Authors: Tian Chunwei, Zhang Xuan … Read more