Image segmentation model determination method and image segmentation method

The embodiment of the invention provides an image segmentation model determination method and an image segmentation method, and the method comprises the steps: determining a first image sample set and a second image sample set which comprise a target object; determining a feature extraction model ac...

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Bibliographic Details
Main Authors ZHANG JIANFENG, GUO HENG, XU MINFENG
Format Patent
LanguageChinese
English
Published 24.02.2023
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Summary:The embodiment of the invention provides an image segmentation model determination method and an image segmentation method, and the method comprises the steps: determining a first image sample set and a second image sample set which comprise a target object; determining a feature extraction model according to a first image sample in the first image sample set; inputting the second image sample into a feature extraction model to obtain a second feature image of the second image sample; and determining an image segmentation model according to the second feature image and the sample label. According to the method, a feature extraction model capable of realizing multi-scale image feature extraction is trained through a label-free first image sample set, so that the feature extraction model can learn rich and advanced semantic information of a first image sample; and then taking the feature extraction model as a feature extractor, and combining with a small number of labeled second image sample sets to train and o
Bibliography:Application Number: CN202211386108