| CPC G06V 10/56 (2022.01) [G06F 18/2148 (2023.01); G06N 7/00 (2013.01); G06N 20/00 (2019.01); G06T 7/50 (2017.01); G06T 2207/20081 (2013.01); G06V 10/467 (2022.01)] | 12 Claims |
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1. A learning method of causing a statistical model for outputting a distance to a subject to learn by using an image including the subject as an input, the method comprising:
acquiring an image for learning including a subject having an already known shape;
acquiring a first distance to the subject included in the image for learning, from the image for learning; and
causing the statistical model to learn by restraining the first distance with the shape of the subject included in the image for learning, wherein
the causing the statistical model to learn comprises:
correcting the first distance to a second distance, based on the shape of the subject included in the image for learning; and
causing the statistical model to learn the image for learning and the second distance,
the image for learning comprises a first image for learning to which a correct label is assigned and a second image for learning to which the correct label is not assigned,
the first and second images for learning include subjects of the same shape,
the acquiring the first distance comprises acquiring a first distance to the subject included in the first image for learning, from the second image for learning,
the first distance is corrected to a second distance, based on the shape of the subject included in the second image for learning, and
the causing the statistical model to learn comprises updating a parameter of the statistical model so as to minimize a value obtained by adding a difference between a relative value of the second distance and a relative value of the third distance output from the statistical model by inputting the second image for learning to the statistical model, to a difference between a correct label and the third distance output from the statistical model by inputting the first image for learning to the statistical model.
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