Image Compression Based on Hybrid Domain Attention and Postprocessing Enhancement
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/4926124
Abstract: Deep learning-based image compression methods have made significant achievements recently, of which the two key components are the entropy model for latent representations and the encoder-decoder network. Both the inaccurate estimation of the entropy estimation… read more here.
Keywords: compression; domain attention; hybrid domain; image compression ... See more keywords
A Genetic Neural Net Model for the Relationship between Pre-School and Attention in Early Childhood
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/6451199
Abstract: This paper uses an algorithm of a genetic neural network to conduct an in-depth study and analysis of the attention relationship in pre-school education of young children. In face expression images, expression features are often… read more here.
Keywords: attention mechanism; recognition; expression; attention ... See more keywords