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

Claim 12:
13. The system of claim 12, wherein the instructions, when executed by the processor, further cause the processor to:
for each of a first number of loops:
select a labeled image from a set of training images;
designate 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;
pass pixel data representing the pixels of the selected training image through the embedding neural network model to generate a plurality of pixel embedding vectors corresponding to the pixels of the selected training image;
generate a training prototype embedding vector associated with a training label associated with the first subset pixels based on the pixel embedding vectors corresponding to the first subset of pixels;
for each pixel of the second subset of pixels, determine a probability that the pixel should be labeled with the training label based on the training prototype embedding vector and pixel embedding vectors corresponding to the second subset of pixels;
update the parameters of the embedding neural network model based on the determined probabilities; and
repeat the instructions to select, designate, pass, generate, determine, and update above for a second number of loops; and

generate the initialized parameters for the embedding neural network model based on the updated parameters generated in each of the first number of loops.