Patent ID: 11967015
Assignee: APPLE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. The method of claim 1, further comprising training the machine learning model based on the constraint of equivariance under rotations between the training object and the model-generated representation of the training object by:
providing a first input training image depicting a first view of the training object to the machine learning model;
providing a second input training image depicting a second view of the training object to the machine learning model;
generating the first implicit representation of the training object based on the first input training image;
generating the second implicit representation of the training object based on the second input training image;
rotating the first implicit representation of the training object to generate the rotated version of the first implicit representation;
rotating the second implicit representation of the training object to generate the rotated version of the second implicit representation;
generating a first output training image based on the rotated version of the first implicit representation of the training object;
generating a second output training image based on the rotated version of the second implicit representation of the training object;
comparing the first input training image to the second output training image; and
comparing the second input training image to the first output training image.