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Found 4 papers, 1 papers with code
Super Neurons
In this article, we present superior (generative) neuron models (or super neurons in short) that allow random or learnable kernel shifts and thus can increase the receptive field size of each connection.
Convolutional versus Self-Organized Operational Neural Networks for Real-World Blind Image Denoising
Real-world blind denoising poses a unique image restoration challenge due to the non-deterministic nature of the underlying noise distribution.
Single Frame Deblurring with Laplacian Filters
Blind single image deblurring has been a challenge over many decades due to the ill-posed nature of the problem.
HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning
Recent advancements in machine learning research, i. e., deep learning, introduced methods that excel conventional algorithms as well as humans in several complex tasks, ranging from detection of objects in images and speech recognition to playing difficult strategic games.
