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Semantic segmentation method, device and 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

Active Publication Date: 2020-06-16
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 and equipment and computer readable storage medium
  • Semantic segmentation method, device and equipment and computer readable storage medium
  • Semantic segmentation method, device and equipment and computer readable storage medium

Examples

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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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Abstract

The invention discloses a semantic segmentation method, device and equipment and a computer readable storage medium. The method comprises steps of acquiring to-be-processed characteristic informationof a to-be-processed image, wherein the to-be-processed image comprises a first mode image and a second mode image corresponding to the first mode image, and the to-be-processed characteristic information comprises first characteristic information of the first mode image and second characteristic information of the second mode image; connecting the first feature information and the second featureinformation to obtain first connection feature information; determining compensation information of the feature information to be processed according to the first connection feature information; correcting the to-be-processed feature information according to the compensation information to obtain corrected feature information; and determining a semantic classification result of each pixel in the to-be-processed image 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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IPC IPC(8): G06T7/11G06K9/46G06K9/62
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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