Image segmentation data processing method and device, computer equipment and storage medium
An image segmentation and data processing technology, applied in the computer field, can solve the problems of poor accuracy and robustness of image segmentation models and low reliability of sample images, and achieve the effect of improving accuracy, accuracy and robustness.
Active Publication Date: 2021-02-26
TENCENT TECH (SHENZHEN) CO LTD
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Since the sample images are screened only by the quality assessment model, the reliability of the screened sample images is not high, so the accuracy and robustness of the trained image segmentation model are poor
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[0059] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the following will further describe the embodiments of the present application in detail in conjunction with the accompanying drawings.
[0060] It can be understood that the terms "first", "second" and the like used in this application may be used to describe various concepts herein, but unless otherwise specified, these concepts are not limited by these terms. These terms are only used to distinguish one concept from another. For example, a first source-domain image could be termed a second source-domain image, and, similarly, a second source-domain image could be termed a first source-domain image, without departing from the scope of the present application.
[0061] Wherein, at least one refers to one or more than one, for example, at least one source domain image may be any integer number of source domain images greater than or equal to one, such ...
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The embodiment of the invention discloses an image segmentation data processing method and device, computer equipment and a storage medium, and belongs to the technical field of computers. The methodcomprises the following steps: determining a first source domain loss value based on a source domain label image, a first label image and a second label image; determining a first target domain loss value based on the third label image and the fourth label image; and training a first image segmentation model based on the first source domain loss value and the first target domain loss value, and performing image segmentation task processing based on the image segmentation model obtained after training. When the source domain image and the target domain image are adopted to train the first imagesegmentation model, the result output by the first image segmentation model is considered, and the result output by the second image segmentation model is fused into the source domain loss value, sothat the first image segmentation model can be supervised through the second image segmentation model; and an image segmentation model with higher accuracy and robustness is trained, so that the accuracy of image segmentation is improved.
Description
technical field [0001] The embodiments of the present application relate to the field of computer technology, and in particular to an image segmentation data processing method, device, device, and storage medium. Background technique [0002] With the continuous development of computer technology and artificial intelligence technology, artificial intelligence technology has achieved remarkable results in image analysis tasks such as image segmentation and image recognition. When using artificial intelligence technology for image segmentation, it is necessary to rely on a large number of sample images to train the image segmentation model, but there are often noisy images in the sample images. [0003] In the related technology, the quality score of the sample image is firstly determined based on the quality evaluation model, the sample image with a higher quality score is selected, and the image segmentation model is trained by using the sample image with a higher quality sc...
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IPC IPC(8): G06T7/10G06T5/00G06N3/04
CPCG06T7/10G06T2207/20081G06T2207/30201G06N3/045G06T5/70
Inventor 柳露艳马锴郑冶枫
Owner TENCENT TECH (SHENZHEN) CO LTD