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Semantic Segmentation Method, Device, Equipment, and Computer-Readable Storage Medium

A semantic segmentation and semantic technology, applied in the field of computer vision, can solve problems such as unsatisfactory semantic segmentation effect, and achieve the effect of improving semantic segmentation effect

Active Publication Date: 2022-03-08
BEIJING SENSETIME TECH DEV CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the uncertainty of depth information in real scenes and the large amount of noise in depth information, the semantic segmentation effect based on depth information is not ideal.

Method used

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  • Semantic Segmentation Method, Device, Equipment, and Computer-Readable Storage Medium
  • Semantic Segmentation Method, Device, Equipment, and Computer-Readable Storage Medium
  • Semantic Segmentation Method, Device, Equipment, and Computer-Readable Storage Medium

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Embodiment Construction

[0039] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0040] Embodiments of the invention may be applied to computer systems / servers that are operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well-known computing systems, environments and / or configurations suitable for use with computer systems / servers include, but are not limited to: personal computer systems, ...

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PUM

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Abstract

A semantic segmentation method, device, device, and computer-readable storage medium are disclosed, the method includes: acquiring feature information of an image to be processed, the image to be processed includes a first pattern image, and the first A second pattern image corresponding to the pattern image, the feature information to be processed includes first feature information of the first pattern image, and second feature information of the second pattern image; for the first feature information and the The second feature information is connected to obtain the first connection feature information; according to the first connection feature information, the compensation information of the feature information to be processed is determined; the feature information to be processed is corrected according to the compensation information, Obtaining correction feature information; determining a semantic classification result of each pixel in the image to be processed according to the correction feature information.

Description

technical field [0001] The present disclosure relates to computer vision technology, and in particular to a semantic segmentation method, device, equipment and computer-readable storage medium. Background technique [0002] Semantic segmentation is an important problem in computer vision, and it has applications in many fields such as autonomous driving, geological monitoring, facial segmentation, and precision agriculture. [0003] With the development of depth sensors, depth information is also introduced into semantic segmentation. However, due to the uncertainty of depth information in real scenes and the large amount of noise in depth information, the semantic segmentation based on depth information is not ideal. Contents of the invention [0004] The embodiment of the present disclosure provides a semantic segmentation solution. [0005] According to an aspect of the present disclosure, a method for semantic segmentation is provided, the method includes: acquiring ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06V10/40G06K9/62G06V10/764G06V10/80
CPCG06T7/11G06T2207/10004G06V10/40G06F18/25G06F18/241
Inventor 钱晨林君仪陈小康
Owner BEIJING SENSETIME TECH DEV CO LTD
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