Image segmentation model training and image segmentation method, device and equipment
A segmentation model and image segmentation technology, applied in the computer field, can solve the problems of low image segmentation efficiency, complex structure and low quality, and achieve the effect of high image segmentation efficiency, ensuring high efficiency and high quality, and good image segmentation quality.
Pending Publication Date: 2020-12-11
BEIJING BYTEDANCE NETWORK TECH CO LTD
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Problems solved by technology
In the process of implementing the present application, the inventors found that the above-mentioned related image segmentation technology has at least the following defects: due to the low quality of the output results of the model with a simple structure, in order to improve the accuracy of segmentation, it is usually necessary to use a model with a complex structure
However, the efficiency of image segmentation is very low due to the use of complex models, especially on mobile terminals where the hardware configuration is difficult to support complex models. This problem is particularly significant and urgent.
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[0021] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the disclosure are shown in the drawings, it should be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these examples are provided so that the understanding of this disclosure will be thorough and complete. It should be understood that the drawings and embodiments of the present disclosure are for exemplary purposes only, and are not intended to limit the protection scope of the present disclosure.
[0022] It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings. In the case of no conflict, the embodiments in the present disclosure and the features in the embodiments can be combined with each other.
[0023] It should be noted that conc...
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The embodiment of the invention discloses an image segmentation model training method and device, electronic equipment and a computer readable medium. One specific embodiment of the method comprises the steps of training a discrimination model by using a first segmentation result set and a second segmentation result set to obtain a trained discrimination model; inputting each image in the second image set into the to-be-trained image segmentation model to generate a segmentation result, and obtaining a segmentation result set; inputting each segmentation result in the segmentation result set into the trained discrimination model to generate a discrimination result, and obtaining a discrimination result set; and in response to determining that the to-be-trained image segmentation model is not trained, adjusting parameters in the to-be-trained image segmentation model based on the discrimination result set. According to the embodiment of the invention, the output of the to-be-trained image segmentation model is close to the output of the pre-trained image segmentation model, so that the over-fitting problem is not liable to occur when the structure of the to-be-trained image segmentation model is simple, and the quality of a model output result is ensured.
Description
technical field [0001] The embodiments of the present disclosure relate to the field of computer technology, and in particular to an image segmentation model training method, device, device, and computer-readable medium. Background technique [0002] In some image processing tasks, image segmentation is often required. In the process of implementing the present application, the inventors found that the above-mentioned related image segmentation techniques have at least the following defects: due to the low quality of the output results of the models with simple structures, in order to improve the accuracy of segmentation, it is usually necessary to use models with complex structures. However, the use of a model with a complex structure leads to low efficiency in image segmentation, especially on mobile terminals where the hardware configuration is difficult to support complex models. This problem is particularly significant and urgent. Contents of the invention [0003] T...
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IPC IPC(8): G06K9/62
CPCG06F18/2415G06F18/214Y02T10/40
Inventor 邓启力
Owner BEIJING BYTEDANCE NETWORK TECH CO LTD