Target detection method and device, embedded device

A technology for target detection and prediction results, which is applied in the field of computer vision, can solve the problems of large amount of calculation for target detection and slow prediction speed, achieve the effect of compressing storage volume and calculation amount, and solving the problem of large amount of calculation

Pending Publication Date: 2019-02-19
BEIJING MOSHANGHUA TECH CO LTD
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Problems solved by technology

[0005] The main purpose of this application is to provide a target detection method, device, and embedded device to solve the problems of large amount of computation and slow prediction speed of target detection

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  • Target detection method and device, embedded device
  • Target detection method and device, embedded device
  • Target detection method and device, embedded device

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Embodiment Construction

[0024] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0025] It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It should be understood that the data so used may be interchanged under appropriate circumstances for...

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Abstract

The present application discloses a target detection method and device, and an embedded device. The method includes replacing a convolution layer with a depth convolution layer and a point convolutionlayer in a backbone network of a target detection network; outputting a prediction result according to a plurality of characteristic maps of different scales; The backbone network comprises a convolution layer, a batch normalization layer and an activation function layer. The present application solves the technical problems of large target detection computation amount and slow prediction speed.With the present application, the storage volume and computational load of the model are greatly reduced with less loss of network expression capability. In addition, the present application can be applied to an embedded device such as a mobile phone.

Description

technical field [0001] The present application relates to the field of computer vision, in particular, to a target detection method and device, and an embedded device. Background technique [0002] With the rapid development of computer vision, great progress has been made in the fields of face recognition and object detection, especially in the accuracy rate. The emergence of many deep networks has accelerated face recognition. Progress in fields such as object detection has made great leaps in many public computer vision datasets. For example, the face recognition LFW dataset has an accuracy rate of 99.83%, far exceeding the accuracy of human eyes. For another example, the Pascal VOC dataset has an accuracy rate of nearly 90% for object detection. For another example, the COCO dataset has an accuracy rate of more than 50% for object detection. [0003] The inventors found that many methods with high accuracy are based on very large networks. However, they also have the d...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32
CPCG06V10/255G06V2201/07
Inventor 王兆男张默
Owner BEIJING MOSHANGHUA TECH CO LTD
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