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Found 5 papers, 4 papers with code
Fully convolutional Siamese neural networks for buildings damage assessment from satellite images
In this work, we develop a computational approach for an automated comparison of the same region's satellite images before and after the disaster, and classify different levels of damage in buildings.
3D Convolutional Neural Networks for Stalled Brain Capillary Detection
Recent advances in imaging technology enabled generation of high-quality 3D images that can be used to visualize stalled blood vessels.
Deep Learning for Automatic Pneumonia Detection
Pneumonia is the leading cause of death among young children and one of the top mortality causes worldwide.
Weighted boxes fusion: Ensembling boxes from different object detection models
In this work, we present a novel method for combining predictions of object detection models: weighted boxes fusion.
Photometric light curves classification with machine learning
The Large Synoptic Survey Telescope will complete its survey in 2022 and produce terabytes of imaging data each night.
