Method and device for adjusting parmeters of machine learning model

Abstract

A machine learning method comprises: (a) applying a contrastive learning model to a training image and an image mask to generate a foreground feature vector pair and a background feature vector pair; (b) calculating a foreground loss and a background loss according to the foreground feature vector pair and the background feature vector pair; (c) calculating a total loss from the foreground loss and the background loss; (e) when a recursion end condition is met, using a first encoder for parameter adjustment of machine learning model; and (f) when the recursive end condition is not met, adjusting a parameter of the first encoder in the contrastive learning model using the total loss, and adjust a parameter of a second encoder in the contrastive learning model using the adjusted parameter of the first encoder and a preset multiple, thereby performing step (a) to step (d) again.