Image visual semantic segmentation method based on two-way region attention coding and decoding
An image vision and semantic segmentation technology, applied in the field of image processing, can solve the problems of limited manpower and camera angle, lack of pertinence, accurate segmentation, etc., to achieve the effect of improving semantic segmentation accuracy, stable training effect, and high segmentation accuracy.
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[0067] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0068] Please refer to figure 1 with figure 2 , in an embodiment of the present invention, an image visual semantic segmentation method based on two-way area attention encoding and decoding, the specific steps include:
[0069] S1. Acquiring scene image samples;
[0070] S2. Preprocessing the scene image samples, and importing the constructed depth model for training;
[0071] S3. Build a network codec, perform feature fusion on image samples and obtain a ...
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