Research on image recognition method based on intelligent technology

Libing Hu; YongChun Zhang; Ruxue Bai

doi:10.1117/12.2681364

23 May 2023 Research on image recognition method based on intelligent technology

Libing Hu, YongChun Zhang, Ruxue Bai

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126451T (2023) https://doi.org/10.1117/12.2681364
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

With the rapid development of computer vision, fine-grained image recognition technology has shown strong value in catering, online shopping, education, urban transportation and other fields. The fine-grained image recognition technology can be divided into strong-supervised fine-grained image recognition and weak-supervised fine-grained image recognition. Strongly supervised fine-grained image recognition requires proper manual marking of the area to be identified in the image before training. Its preparation is time-consuming and labor-intensive, and manual marking is highly professional.

Citation Download Citation

Libing Hu, YongChun Zhang, and Ruxue Bai "Research on image recognition method based on intelligent technology", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126451T (23 May 2023); https://doi.org/10.1117/12.2681364

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