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

Claim 6:
7. The method of claim 1, further comprising:
for each of a first number of loops:
selecting a labeled image from a set of training images;
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;
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;
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;
for each pixel of the second subset of pixels, determining a probability that the pixel should be labeled with the training label based on the training prototype embedding vector;
updating the parameters of the embedding neural network model based on the determined probabilities; and
repeating the selecting, designating, passing, generating, determining, and updating steps above for a second number of loops; and

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.