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Method performing target segmentation by using neural network, equipment and medium

A neural network and target segmentation technology, applied in the fields of deep learning, computer vision, and artificial intelligence, can solve problems such as the need to improve the accuracy rate, achieve the effect of improving generalization ability, reducing requirements and overhead, and improving processing speed

Pending Publication Date: 2021-05-04
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the wide application of deep learning, object segmentation methods have been developed rapidly, but the accuracy of existing object segmentation methods still needs to be improved

Method used

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  • Method performing target segmentation by using neural network, equipment and medium
  • Method performing target segmentation by using neural network, equipment and medium
  • Method performing target segmentation by using neural network, equipment and medium

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Embodiment Construction

[0023] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0024] In the present disclosure, unless otherwise stated, using the terms "first", "second", etc. to describe various elements is not intended to limit the positional relationship, temporal relationship or importance relationship of these elements, and such terms are only used for Distinguishes one element from another. In some examples, the first element and the second ...

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Abstract

The invention provides a method for performing target segmentation by using a neural network, equipment and a medium, and relates to the technical field of artificial intelligence, in particular to the technical field of deep learning and computer vision. The neural network includes a first sub-network configured to receive a preceding image to generate a preceding feature map of the preceding image; a second sub-network which is arranged after the first sub-network and configured to receive the preceding feature map of the preceding image and a target segmentation result of the preceding image to generate at least one group of template features of the preceding image; a third sub-network which is parallel to the first sub-network and configured to receive the current image to generate the current feature map of the current image; the second sub-network and a fourth sub-network arranged after the third sub-network which are configured to receive the current feature map and at least one group of template features of the previous image so as to generate a space-time information feature map; and a fifth sub-network which is arranged after the fourth sub-network and configured to receive the space-time information feature map to generate a prediction target segmentation result of the current image.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, in particular to the technical field of deep learning and computer vision, and in particular to a method, device and medium for object segmentation using a neural network. Background technique [0002] Artificial intelligence is a discipline that studies the use of computers to simulate certain human thinking processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), both at the hardware level and at the software level. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, and machine learning / depth Learning, big data processing technology,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/34G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V10/267G06V10/751G06N3/045G06F18/23G06F18/22
Inventor 伍天意郭国栋朱欤
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD