Detection of False Data Injection Attacks Using Unsupervised and Supervised Learning

Detection of False Data Injection Attacks Using Unsupervised and Supervised Learning

Reference Information (Click Title to Read Full Text) Huang Dongmei, Wang Yifan, Hu Anduo, et al. Detection method of false data injection attack based on unsupervised and supervised learning[J]. Electric Power Engineering Technology, 2024, 43(2):134-141. HUANG Dongmei, WANG Yifan, HU Anduo, et al. Detection method of false data injection attack based on unsupervised and supervised … Read more

How to Use Multi-Type Data to Pre-Train Multimodal Models?

How to Use Multi-Type Data to Pre-Train Multimodal Models?

Click on the "Xiao Bai Learns Vision" above, select to add a "star" or "top". Important content delivered to you first. Guide to Extreme City This article reviews four papers on achieving multi-task unification in data or model structure, introducing the research direction of incorporating multiple types of data in the optimization of multimodal models. … Read more

FontDiffuser: One-Shot Font Generation with Denoising Diffusion

FontDiffuser: One-Shot Font Generation with Denoising Diffusion

Follow our public account to discover the beauty of CV technology This article shares the AAAI 2024 paper FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning, detailing the use of diffusion models for generating complex characters in any style. Detailed information is as follows: Authors: Yang Zhenhua, Peng … Read more