Patent ID: 11966454
Assignee: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 17:
18. A method of training a neural network for image processing, the method comprising:
initializing parameters of the neural network;
during a first round of training:
receiving a first training image;
predicting a first output image corresponding to an adapted version of the first training image; and
adjusting the parameters of the neural network so as to minimize a difference between the first output image and a first ground truth image; and

during a second round of training:
receiving a second training image;
predicting a second output image corresponding to an adapted version of the second training image; and
adjusting the parameters of the neural network so as to maximize a difference between the second output image and a negative image and minimize a difference between the second output image and a second ground truth image, wherein the negative image is obtained based on the second training image using the parameters of the neural network learned during the first round of training.