Wednesday, December 1, 2021

Development of an artificial intelligence model for detecting and analyzing objects in various images

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Structure of artificial Intelligence-based neural community. Credit: DGIST

In line with the current pattern in outstanding development and efficiency enchancment in deep studying, which is a subfield of artificial intelligence, there was lively analysis and functions in this area. In explicit, there was an growing demand for industrial functions, and areal images of a variety of areas have been acquired. However, in these aerial images, the domains that characterize picture options differ relying on the time the images are taken, in addition to the placement and traits of town the place the images are taken. When aerial images have totally different domains in respective instances, it will likely be harder to make use of the images to detect particular objects or predict particular person images in images that combine a spread of aerial images every with a unique area.

To deal with these difficulties, Prof. Hwang hypothesized that this downside could possibly be resolved by fine-tuning the variables of the community parameters of aerial images with a number of domains. Consequently, the analysis staff was capable of precisely phase a constructing from aerial images and exactly detect a constructing in areal images with . In addition, by utilizing the construction of generative adversarial networks (GANs), the staff developed a domain-adaptive succesful of adjusting the parameters of the artificial intelligence neural community by itself to match the domains enter to the photographed images.

When the algorithm for constructing detection (segmentation) was utilized to aerial images of totally different domains, the placement, boundary, and form of buildings have been precisely detected, together with the domains used for coaching the artificial neural community.

Prof. Jae Youn Hwang commented, “The neural network developed in this research is novel and capable of adaptive adjustment according to each .” He added, “With improvements in the proposed method, the findings of the research are expected to have a positive impact on the further development of artificial intelligence with application to a variety of fields such as remote sensing and medical imaging.”

In this analysis, Kyungsu Lee, a Ph.D scholar participated as the primary writer. In addition, the outcomes of this analysis have been introduced on the International Conference on Computer Vision (ICCV) 2021, probably the most prestigious convention in the sphere of pc imaginative and prescient and artificial intelligence.


Doubling the efficiency of visible recognition AI


More data:
Conference: iccv2021.thecvf.com/house

Provided by
DGIST (Daegu Gyeongbuk Institute of Science and Technology)

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Development of an artificial intelligence model for detecting and analyzing objects in various images (2021, November 23)
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