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Found 8 papers, 1 papers with code
DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection
The proposed method accelerates the convergence of the genetic algorithm and increases the system's performance.
Image Inpainting Using AutoEncoder and Guided Selection of Predicted Pixels
We improved the final results by replacing the damaged pixels with the recovered pixels of the output images.
MSGDD-cGAN: Multi-Scale Gradients Dual Discriminator Conditional Generative Adversarial Network
In this work, we propose a method called MSGDD-cGAN, which first stabilizes the performance of the cGANs using multi-connections gradients flow.
Conditional Image Generation
Generative Adversarial Network
+1
Region of Interest Identification for Brain Tumors in Magnetic Resonance Images
Glioma is a common type of brain tumor, and accurate detection of it plays a vital role in the diagnosis and treatment process.
Image Inpainting by Multiscale Spline Interpolation
The first step of this method is to determine how many scales we need to use, which depends on the width of the lines in the map of the missing region.
An Abstraction Model for Semantic Segmentation Algorithms
We also compare different approaches and analyze each of the four abstraction blocks' importance in each method's operation.
A General Framework for Saliency Detection Methods
Saliency detection is one of the most challenging problems in image analysis and computer vision.
Image Inpainting by Adaptive Fusion of Variable Spline Interpolations
If the pixel is located on an edge, then we use the predicted value in that direction.
