Systems and methods for image classification using a neural network combined with a correlation structure
AssigneeFord Global Technologies, LLC
InventorsThomas Muehlenstaedt, Jelena Frtunikj
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Abstract
Systems and methods for performing image classification are disclosed. The methods include, by a processor: receiving an input image, generating a label prediction corresponding to the input image using a trained neural network, generating a correlation structure based on a comparison of the input image with each of a plurality of reference images, and generating an updated label prediction corresponding to the input image using the label prediction and the correlation structure.
Claims20
A method of performing image classification, the method comprising, by a processor:
- receiving an input image;
- generating, using a trained neural network, a label prediction corresponding to the input image;
- generating, based on a comparison of the input image with each of a plurality of reference images, a correlation structure;
- and
- generating, using the label prediction and the correlation structure, an updated label prediction corresponding to the input image.
A system for performing image classification, the system comprising:
- a processor;
- and
- a non-transitory computer-readable medium comprising programming instructions that when executed by the processor will cause the processor to:
- receive an input image,
- generate, using a trained neural network, a label prediction corresponding to the input image,
- generate, based on a comparison of the input image with each of a plurality of reference images, a correlation structure, and
- generate, using the label prediction and the correlation structure, an updated label prediction corresponding to the input image.
A computer program product comprising a memory and programming instructions that are configured to cause a processor to:
- receive an input image;
- generate, using a trained neural network, a label prediction corresponding to the input image;
- generate, based on a comparison of the input image with each of a plurality of reference images, a correlation structure;
- and
- generate, using the label prediction and the correlation structure, an updated label prediction corresponding to the input image.
Dependencies are inferred from the claim text.