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Method and apparatus for computer vision

A technology of computers and computer programs, used in computer parts, computing, neural learning methods, etc.

Pending Publication Date: 2021-02-12
NOKIA TECHNOLOGLES OY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Driving operations may depend on high performance of semantic segmentation

Method used

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  • Method and apparatus for computer vision
  • Method and apparatus for computer vision
  • Method and apparatus for computer vision

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Embodiment Construction

[0046] In the following description, for purposes of explanation, details are set forth in order to provide a thorough understanding of the disclosed embodiments. It is apparent, however, to one skilled in the art that the embodiments may be practiced without these specific details or with an equivalent arrangement. Various embodiments of the disclosure may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will satisfy applicable legal requirements. Throughout, like reference numerals denote like elements. As used herein, the terms "data," "content," "information" and similar terms are used interchangeably to refer to data capable of being transmitted, received and / or stored in accordance with embodiments of the present disclosure. Thus, use of any such terms should not be taken to limit the spirit and scope of embodiments of the present disclosure.

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Abstract

Method and apparatus are disclosed for computer vision. The method may comprise processing, by using a neural network, first input feature maps of an image to obtain output feature maps of the image.The neural network may comprise at least two branches and a first addition block, each of the at least two branches comprises at least one first dilated convolution layer, at least one first upsampling block and at least one second addition block, a dilated rate of the first dilated convolution layer in an branch is different from that in another branch, the at least one first upsampling block isconfigured to upsample the first input feature maps or the feature maps output by the at least one second addition block, the at least one second addition block is configured to add the upsampled feature maps with second input feature maps of the image respectively, the first addition block is configured to add the feature maps output by each of the at least two branches, the first dilated convolution layer has one convolution kernel and an input channel of the first dilated convolution layer performs dilated convolution separately as an output channel of the first dilated convolution layer.

Description

technical field [0001] Embodiments of the present disclosure relate generally to information technology, and more specifically to computer vision. Background technique [0002] Computer vision is the field that deals with how to enable computers to gain advanced understanding from digital images or videos. Computer vision plays an important role in many applications. Computer vision systems are widely used for various vision tasks, such as scene reconstruction, event detection, video tracking, object recognition, semantic segmentation, three-dimensional (3D) pose estimation, learning, indexing, motion estimation, and image restoration. For example, image recognition systems can be used in video surveillance, traffic monitoring, driver assistance systems, autonomous vehicles, traffic monitoring, person recognition, human-computer interaction, public safety, incident detection, tracking, border guards and customs, scene analysis and classification , image indexing and retrie...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06V20/00G06V10/26G06V10/764
CPCG06N3/084G06V20/00G06V20/56G06V10/26G06V10/454G06V10/82G06V10/764G06N3/045G06F18/2413G06T7/11G06F18/214G06F18/2411
Inventor 张志杰
Owner NOKIA TECHNOLOGLES OY
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