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Target detection and target detection network training method, device and equipment

A target detection and network technology, applied in the field of image processing, can solve the problems of small target size, large image size, and the detection accuracy needs to be further improved.

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

[0002] Target detection is an important issue in the field of computer vision, especially for the detection of military targets such as aircraft and ships. Due to its large image size and small target size, it is difficult to detect
Moreover, for targets such as ships with densely arranged states, the detection accuracy of current target detection methods needs to be further improved

Method used

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  • Target detection and target detection network training method, device and equipment
  • Target detection and target detection network training method, device and equipment
  • Target detection and target detection network training method, device and equipment

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Embodiment Construction

[0102] 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.

[0103] It should be understood that the technical solutions provided by the embodiments of the present disclosure are mainly applied to the detection of elongated and small objects in images, but the embodiments of the present disclosure do not limit this.

[0104] figure 1 A target detection method is shown, the method may include:

[0105] In step 101, feature data (such as a featu...

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Abstract

Disclosed are a target detection and target detection network training method, device and equipment. The object detection method includes: obtaining feature data of an input image; determining a plurality of candidate bounding boxes of the input image according to the feature data; and obtaining a foreground segmentation result of the input image according to the feature data, wherein the foreground The segmentation result includes indication information indicating whether each pixel of the plurality of pixels of the input image belongs to the foreground; according to the plurality of candidate bounding boxes and the foreground segmentation result, an object detection result of the input image is obtained.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular to a method, device and equipment for object detection and object detection network training. Background technique [0002] Target detection is an important issue in the field of computer vision, especially for the detection of military targets such as aircraft and ships. Due to the characteristics of large image size and small target size, the detection is difficult. Moreover, for targets such as ships in a densely arranged state, the detection accuracy of current target detection methods needs to be further improved. Contents of the invention [0003] Embodiments of the present disclosure provide a target detection and target detection network training method, device and equipment. [0004] In the first aspect, a target detection method is provided, including: [0005] Obtain feature data of the input image; [0006] determining a plurality of candidate ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/40G06V10/26G06T7/194G06V10/764G06V20/13
CPCG06T7/194G06T2207/10016G06V20/40G06V10/267G06T7/11G06T7/12G06T7/187G06N3/08G06V20/13G06V10/255G06V10/26G06V10/82G06V10/764G06N3/045G06T2210/12
Inventor 李聪
Owner BEIJING SENSETIME TECH DEV CO LTD