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K-textures, a self-supervised hard clustering deep learning algorithm for satellite image segmentation
The model detects $k$ hard clustering classes represented in the model as $k$ discrete binary masks and their associated $k$ independently generated textures, that combined are a simulation of the original image.
Visualizing Image Content to Explain Novel Image Discovery
The initial analysis of any large data set can be divided into two phases: (1) the identification of common trends or patterns and (2) the identification of anomalies or outliers that deviate from those trends.
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