Uncertainty guided semi-supervised neural network training for image classification
AssigneeInternational Business Machines Corporation
InventorsSuman Sedai, Bhavna Josephine Antony, Rahil Garnavi
Life of this patent
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AssigneeInternational Business Machines Corporation
InventorsSuman Sedai, Bhavna Josephine Antony, Rahil Garnavi
Estimating the term…
Aspects of the invention include systems and methods that train a teacher neural network using labeled images to obtain a trained teacher neural network, each pixel of each of the labeled images being assigned a label that indicates one of a set of classifications. A method includes providing a set of unlabeled images to the trained teacher neural network to generate a set of soft-labeled images, each pixel of each of the soft-labeled images being assigned a soft label that indicates one of the set of classifications and an uncertainty value associated with the soft label, and training a student neural network with a subset of the labeled images and the set of soft-labeled images to obtain a trained student neural network. Student-labeled images are obtained from unlabeled images using the trained student neural network.
A computer-implemented method comprising:
A system comprising:
A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform operations comprising:
Dependencies are inferred from the claim text.