Neural network synthesis architecture using encoder-decoder models
AssigneeAffectiva, Inc.
InventorsTaniya Mishra, Sandipan Banerjee, Ajjen Das Joshi
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AssigneeAffectiva, Inc.
InventorsTaniya Mishra, Sandipan Banerjee, Ajjen Das Joshi
Estimating the term…
Disclosed techniques include neural network architecture using encoder-decoder models. A facial image is obtained for processing on a neural network. The facial image includes unpaired facial image attributes. The facial image is processed through a first encoder-decoder pair and a second encoder-decoder pair. The first encoder-decoder pair decomposes a first image attribute subspace. The second encoder-decoder pair decomposes a second image attribute subspace. The first encoder-decoder pair outputs a transformation mask based on the first image attribute subspace. The second encoder-decoder pair outputs a second image transformation mask based on the second image attribute subspace. The first image transformation mask and the second image transformation mask are concatenated to enable downstream processing. The concatenated transformation masks are processed on a third encoder-decoder pair and a resulting image is output. The resulting image eliminates a paired training data requirement.
A computer-implemented method for machine learning comprising:
27-32. (canceled)
A computer program product embodied in a non-transitory computer readable medium for machine learning, the computer program product comprising code which causes one or more processors to perform operations of:
A computer system for machine learning comprising:
Dependencies are inferred from the claim text.