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Found 5 papers, 4 papers with code
Blind Image Deconvolution Using Variational Deep Image Prior
Conventional deconvolution methods utilize hand-crafted image priors to constrain the optimization.
Resmax: An Alternative Soft-Greedy Operator for Reinforcement Learning
Soft-greedy operators, namely $\varepsilon$-greedy and softmax, remain a common choice to induce a basic level of exploration for action-value methods in reinforcement learning.
Blind Non-Uniform Motion Deblurring using Atrous Spatial Pyramid Deformable Convolution and Deblurring-Reblurring Consistency
In this paper, we propose a new architecture which consists of multiple Atrous Spatial Pyramid Deformable Convolution (ASPDC) modules to deblur an image end-to-end with more flexibility.
Network-Based Analysis of Public Transportation Systems in North American Cities
A comprehensive data analysis system is implemented for the extraction of information and comparison of North American public transport systems.
Social and Information Networks Combinatorics Physics and Society
HydraPicker: Fully Automated Particle Picking in Cryo-EM by Utilizing Dataset Bias in Single Shot Detection
Particle picking in cryo-EM is a form of object detection for noisy, low contrast, and out-of-focus microscopy images, taken of different (unknown) structures.
