Patent ID: 11887310
Assignee: APPLE INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 19:
20. The computer program product of claim 14, wherein the computer program product further comprises:
for each of a first number of loops:
code for selecting a labeled image from a set of training images;
code for designating a first subset of pixels of the selected training image and a second subset of pixels of the selected training image, wherein labels associated with the second subset of pixels are hidden;
code for passing pixel data representing the pixels of the training image through the embedding neural network model to generate a plurality of pixel embedding vectors corresponding to the pixels of the training image;
code for generating a training prototype embedding vector associated with a training label associated with the first subset of pixels based on pixel embedding vectors corresponding to the first subset of pixels of the training image;
code for determining, for each pixel of the second subset of pixels, a probability that the pixel should be labeled with the training label based on the training prototype embedding vector;
code for updating the parameters of the embedding neural network model based on the determined probabilities; and
code for repeating the selecting, designating, passing, generating, determining, and updating steps above for a second number of loops; and

code for generating the initialized parameters for the embedding neural network model based on a set of parameters updated in each of the first number of loops.