Patent ID: 11948347
Assignee: SAMSUNG ELECTRONICS CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method of controlling a performance of a fusion model neural network, comprising:
obtaining a first set of candidate models for a first neural network, wherein each of the first set of candidate models is pre-trained with a first source;
obtaining a second set of candidate models for a second neural network, wherein each of the second set of candidate models is pre-trained with a second source;
for each pairing of a first candidate model from the first set of candidate models and a second candidate model from the second set of candidate models, determining a model distance Dm;
selecting a subset of possible pairings of one first candidate model and one second candidate model based on the model distance Dm between them, the selected subset of possible pairings having the model distance Dm shorter than other pairings of candidate models from the first set of candidate models and the second set of candidate models;
using the selected subset of possible pairings to combine the first neural network and the second neural network to generate two branches for a fusion model neural network; and
training the fusion model neural network based on the selected subset of possible pairings to improve the performance of the fusion model neural network.