ARTIFICIAL INTELLIGENCE-BASED IMAGE REGION RECOGNITION METHOD AND APPARATUS, AND MODEL TRAINING METHOD AND APPARATUS

An image region recognition method, comprising: obtaining an image to be segmented, wherein said image comprises a plurality of extreme points (101); generating first image feature information according to said image, wherein the first image feature information comprises N image matrices and a first heat map, the first heat map being generated according to the plurality of extreme points (102); obtaining, by means of a first image segmentation model, a first image segmentation region corresponding to the first image feature information (103); obtaining a second heat map according to annotation points corresponding to the first image segmentation region, and the first image segmentation region (104); obtaining, by means of a second image segmentation model, a second image segmentation region corresponding to said image (105); and generating an image recognition result of said image according to the second image segmentation region (106). According to the method, by means of auxiliary segmentation in the second stage, the region having a poor effect in the image segmentation in the first stage is further segmented, so as to obtain a more accurate image segmentation result, thereby improving the performance of image segmentation.