| CPC G06V 10/7715 (2022.01) [G06F 16/55 (2019.01); G06V 10/772 (2022.01); G06V 10/774 (2022.01); G06V 10/778 (2022.01); G06V 10/82 (2022.01)] | 12 Claims |
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1. An inference device comprising:
a memory configured to store instructions; and
one or more processors configured to execute the instructions to:
store a feature vector of image data for case example in association with a metric space learned for each combination of different attributes, and store additional information associated with the case example by a learning method;
wherein the learning method comprises:
learning a metric space including feature vectors extracted from attributed image data, for each combination of different attributes, using the attributed image data to which attribute information is assigned; and
computing the feature vector from the image data for case example to store the computed feature vector as a case example associated with the metric space, and storing additional information associated with the case example;
identify image data for inference based on the feature vector extracted from the image data for inference and the case example associated with the metric space; and
generate, using the additional information associated with the case example used for identification, an identification result.
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