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Found 5 papers, 0 papers with code
Relict landslide detection using Deep-Learning architectures for image segmentation in rainforest areas: A new framework
Values of precision and recall were very similar between the combinations tested.
UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data
Projection techniques are often used to visualize high-dimensional data, allowing users to better understand the overall structure of multi-dimensional spaces on a 2D screen.
HyperNP: Interactive Visual Exploration of Multidimensional Projection Hyperparameters
Projection algorithms such as t-SNE or UMAP are useful for the visualization of high dimensional data, but depend on hyperparameters which must be tuned carefully.
Self-supervised Learning for Astronomical Image Classification
In Astronomy, a huge amount of image data is generated daily by photometric surveys, which scan the sky to collect data from stars, galaxies and other celestial objects.
Deep Learning Multidimensional Projections
We train a deep neural network based on a collection of samples from a given data universe, and their corresponding projections, and next use the network to infer projections of data from the same, or similar, universes.
