A Deep Autoencoder With Novel Adaptive Resolution Reconstruction Loss for Disentanglement of Concepts in Face Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3165261
Abstract: Among the different categories of natural images, face images are very important because of their broad range of applications. One challenging topic of face processing by computers is extracting information related to only specific concepts… read more here.
Keywords: deep autoencoder; face images; autoencoder; reconstruction loss ... See more keywords
SRDRL: A Blind Super-Resolution Framework With Degradation Reconstruction Loss
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3090166
Abstract: Recent years have witnessed the remarkable success of deep learning-based single image super-resolution (SISR) methods. However, most of the existing SISR methods assume that low-resolution (LR) images are purely bicubic downsampled from high-resolution (HR) images.… read more here.
Keywords: loss; reconstruction loss; resolution; degradation reconstruction ... See more keywords