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Found 5 papers, 2 papers with code
Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation
The two proposed PFF and DAB blocks can be integrated with the off-the-shelf backbone networks to address the two issues of multi-scale and feature inconsistency in the multi-class segmentation of fundus lesions, which will produce better feature representation in the feature space.
Applications of Deep Learning in Fundus Images: A Review
The use of fundus images for the early screening of eye diseases is of great clinical importance.
Line Art Correlation Matching Feature Transfer Network for Automatic Animation Colorization
Automatic animation line art colorization is a challenging computer vision problem, since the information of the line art is highly sparse and abstracted and there exists a strict requirement for the color and style consistency between frames.
Generative Adversarial Network
Image-to-Image Translation
+1
Short-term load forecasting using optimized LSTM networks based on EMD
In this study, a short-term load forecasting method is proposed on the basis of empirical mode decomposition and long short-term memory networks, the parameters of which are optimized by a particle swarm optimization algorithm.
Making the Most of Tweet-Inherent Features for Social Spam Detection on Twitter
Social spam produces a great amount of noise on social media services such as Twitter, which reduces the signal-to-noise ratio that both end users and data mining applications observe.
