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Found 8 papers, 4 papers with code
CDSE-UNet: Enhancing COVID-19 CT Image Segmentation with Canny Edge Detection and Dual-Path SENet Feature Fusion
Accurate segmentation of COVID-19 CT images is crucial for reducing the severity and mortality rates associated with COVID-19 infections.
Prime-Aware Adaptive Distillation
With ten teacher-student combinations on six datasets, PAD promotes the performance of existing distillation methods and outperforms recent state-of-the-art methods.
Data Uncertainty Learning in Face Recognition
This work applies data uncertainty learning to face recognition, such that the feature (mean) and uncertainty (variance) are learnt simultaneously, for the first time.
Handwritten Chinese Font Generation with Collaborative Stroke Refinement
Automatic character generation is an appealing solution for new typeface design, especially for Chinese typefaces including over 3700 most commonly-used characters.
An Element Sensitive Saliency Model with Position Prior Learning for Web Pages
Understanding human visual attention is important for multimedia applications.
Chinese Typeface Transformation with Hierarchical Adversarial Network
Inspired by the recent advancement in Generative Adversarial Networks (GANs), we propose a Hierarchical Adversarial Network (HAN) for typeface transformation.
Separating Style and Content for Generalized Style Transfer
We here attempt to separate the representations for styles and contents, and propose a generalized style transfer network consisting of style encoder, content encoder, mixer and decoder.
Chinese Typography Transfer
In this paper, we propose a new network architecture for Chinese typography transformation based on deep learning.
