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Weak-monitoring target positioning method based on data enhancement

A technology of target positioning and weak supervision, applied in the field of image recognition, can solve problems such as weak discrimination and achieve the effect of performance optimization

Inactive Publication Date: 2018-09-28
SHENZHEN WEITESHI TECH
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AI Technical Summary

Problems solved by technology

However, previous object localization methods only focus on the most discriminative parts of the target object and ignore the weak discriminative parts

Method used

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  • Weak-monitoring target positioning method based on data enhancement
  • Weak-monitoring target positioning method based on data enhancement

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Embodiment Construction

[0020] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be further described in detail below in conjunction with the drawings and specific embodiments.

[0021] figure 1 It is a system flowchart of a weakly supervised target positioning method based on data enhancement in the present invention. It mainly includes the construction of the benchmark network, target positioning and performance optimization.

[0022] Among them, the construction of the reference network refers to the use of the pre-activated residual network to realize the role of the classification network as the reference network, wherein the pre-activated residual network is an improved version of the residual network.

[0023] Further, for the classification network, when the residual network is pre-activated as the classification network, the size of the input layer ne...

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Abstract

The invention provides a weak-monitoring target positioning method based on data enhancement. The method mainly comprises the steps of reference network construction, target positioning and performance optimization, wherein the steps particularly comprises that for an input picture, firstly a pre-activated residual network is used to achieve an effect of a classification network to serve as a reference network, then a network dataset is used to train the classification network, and positioning performance is optimized through data enhancement, small batching scale and deep network depth, thena class activation mapping (CAM) algorithm is used to generate a heat map, and the reference network outputs results of classification (object tag) and positioning (bounding box) by controlling a threshold of the heat map. The weak-monitoring target positioning method based on the data enhancement has the advantages that the problem that a departed target positioning method only focuses on a mostdiscriminating part of a target object is solved, a weakly-discriminative part of the target object can be classified and located, and the accuracy of the weak-monitoring target positioning technologycan be improved.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a weakly supervised target positioning method based on data enhancement. Background technique [0002] The purpose of target positioning is to determine the position of a target in the image. The current state-of-the-art target positioning technology uses a fully supervised learning algorithm that requires a large number of annotations, while the weakly supervised method does not rely on annotations, so it is a practical Alternative approach, easily extensible to new object classes. Target positioning technology can be applied in many fields, such as the field of remote sensing. After inputting the remote sensing image, it can automatically locate the position of the building or person in the remote sensing image, so as to determine the location; it can also be applied in the medical field, according to the medical X-ray image or display Microimage analysis of various lesions; i...

Claims

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Application Information

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IPC IPC(8): G01V8/10G06T7/73
CPCG01V8/10G06T7/75
Inventor 夏春秋
Owner SHENZHEN WEITESHI TECH
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