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Found 4 papers, 1 papers with code
DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration
Contemporary image restoration and super-resolution techniques effectively harness deep neural networks, markedly outperforming traditional methods.
SOAR: Advancements in Small Body Object Detection for Aerial Imagery Using State Space Models and Programmable Gradients
In response, this paper introduces two innovative approaches that significantly enhance detection and segmentation capabilities for small aerial objects.
ICML 2023 Topological Deep Learning Challenge : Design and Results
This paper presents the computational challenge on topological deep learning that was hosted within the ICML 2023 Workshop on Topology and Geometry in Machine Learning.
Magnetodynamic properties of dipole-coupled 1D magnonic crystals
As an alternative to experiments and/or micromagnetic simulations, we investigate the accuracy of a simple macrospin model.
Mesoscale and Nanoscale Physics
