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Evaluation method and evaluation equipment for scene graph construction model

A technology for constructing models and scene graphs, applied in the field of artificial intelligence and visual intelligence algorithms

Active Publication Date: 2021-03-19
深兰人工智能应用研究院(山东)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides an evaluation method and evaluation equipment for a scene graph construction model to solve the problem that there is no relatively systematic, correct and effective method for evaluating the construction effect of a scene graph in the prior art

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  • Evaluation method and evaluation equipment for scene graph construction model
  • Evaluation method and evaluation equipment for scene graph construction model
  • Evaluation method and evaluation equipment for scene graph construction model

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Embodiment Construction

[0090] In order to make the present application, the present application will be described in more detail below with reference to the accompanying drawings, which will be described in connection with the embodiments of the present application, not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained without making creative labor have not made creative labor premises.

[0091] The shape and size of each component in the drawings do not reflect the true ratio, and the purpose is to illustrate the present application.

[0092] In the present application embodiment, "first", "second" is used to distinguish different objects, not to describe a particular order. Moreover, the terms "comprise" and any variation, intended to cover the protection of his insecure. For example, a series of steps or units comprising a series of steps or units are not limited to the listed steps or units, but alternatively includ...

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Abstract

The invention discloses an evaluation method and evaluation equipment for a scene graph construction model, and the method comprises the steps: employing an orthogonal test mode to carry out the entity detection processing and entity relation prediction processing of any image through the scene graph construction model, determining a plurality of first prediction results and a plurality of secondprediction results corresponding to any image; based on the real bounding box of each entity and the plurality of first prediction results, calculating to obtain a plurality of MAPs corresponding to the any image; respectively processing the plurality of second prediction results by adopting a preset rule to obtain a plurality of first recall rates corresponding to the any image; and performing comprehensive evaluation processing on the plurality of MAPs and the plurality of first recall rates corresponding to any image to obtain an evaluation result, so as to determine the influence degree ofeach structure and / or combined structure of the scene graph construction model, systematically, correctly and effectively evaluate the construction effect of the scene graph, and improve the accuracyof constructing the scene graph.

Description

Technical field [0001] The present application relates to the technical field of artificial intelligence and visual intelligence algorithm, especially the evaluation method of a scenario constructor and evaluation equipment. Background technique [0002] A form of structured structuring is a more prominent issue in visual intelligence. Scene is as a figure structure, providing a semantic understanding and summary of the image of the real world. Since there is a multi-interaction entity object, and the prospects and backgrounds of the scene are important to understand the semantic understanding of the image. Therefore, reasonable and accurate description of the scene is the core condition of subsequent visual reasoning, and it is important to measure scene map constructiveness to become an important prerequisite for subsequent reasoning applications, such as the accuracy of object locations in visual scenes, the accuracy of object categories, and object relationships. Accuracy, et...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20
CPCG06F30/20
Inventor 陈海波曹东
Owner 深兰人工智能应用研究院(山东)有限公司
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