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Method and device for data processing and electronic equipment

A technology for data processing and sensing data, applied in the fields of automatic driving and deep learning, computer vision technology, and artificial intelligence, which can solve problems such as inability to express characteristic information in the time dimension, limited characteristic information, etc.

Pending Publication Date: 2021-06-25
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the feature information extracted from single frame data is limited, for example, it cannot represent the feature information in the time dimension

Method used

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  • Method and device for data processing and electronic equipment
  • Method and device for data processing and electronic equipment
  • Method and device for data processing and electronic equipment

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Embodiment Construction

[0018] 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 and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0019] In the description of the embodiments of the present disclosure, the term "comprising" and its similar expressions should be interpreted as an open inclusion, that is, "including but not limited to". The term "based on" should be understood as "based at least in part on". The term "one embodiment" or "the embodiment" should be read as "at least one embodiment". ...

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Abstract

The invention discloses a method and device for data processing, and relates to the field of artificial intelligence, in particular to the field of computer vision, automatic driving and deep learning. According to the specific implementation scheme of one embodiment, the method comprises the following steps: acquiring a first frame sequence and a second frame sequence of sensing data, wherein each of the first frame sequence and the second frame sequence comprises a plurality of overlapped frames; determining a first output frame sequence and a second output frame sequence based on the first frame sequence and the second frame sequence, the first output frame sequence indicating first feature information related to the first frame sequence and the second output frame sequence indicating second feature information related to the second frame sequence; and determining a third output frame sequence using a plurality of weight parameters based on the first output frame sequence and the second output frame sequence, the third output frame sequence indicating third feature information related to the plurality of coincident frames. In this manner, the resulting output can effectively represent temporal context information for a plurality of frame sequences of sensing data.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, especially to the fields of computer vision technology, automatic driving and deep learning, and more particularly, to a method, device, electronic device, computer-readable storage medium and computer program product for data processing. Background technique [0002] Deep learning techniques have a wide range of applications in the field of computer vision. For example, the image processing model used in computer vision technology can usually extract the required feature information from single frame data (for example, RGB image data) for subsequent tasks such as object classification, detection and tracking, etc. The development of technologies such as autonomous driving. However, the feature information extracted from single frame data is limited, for example, it cannot represent feature information in the time dimension. Contents of the invention [0003] The pres...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/41G06V20/46G06V10/462G06N3/045G06F18/214
Inventor 鞠波杨威叶晓青谭啸孙昊
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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