Semantic segmentation method and system for RGB-D image
A semantic segmentation and image technology, applied in the field of deep learning, can solve the problems of low accuracy of RGB-D image semantic segmentation, failure to fully utilize color information and depth information effectively, and achieve the effect of improving the accuracy.
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[0049] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.
[0050] According to the embodiment of the present application, a semantic segmentation method of RGB-D image is proposed, such as figure 1 shown, including:
[0051] S101, extracting RGB encoding features and depth encoding features in multiple stages of RGB-D images;
[0052]S102, input the RGB coding features and depth coding features of each stage in the multiple stages into the attention model, and obtain the multimodal fusion...
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