Presentation information

General Session

General Session » J-2 Machine learning

[4I3-GS-2] Machine learning: Image recognition and video analysis

Fri. Jun 12, 2020 2:00 PM - 3:20 PM Room I (jsai2020online-9)


2:40 PM - 3:00 PM

[4I3-GS-2-03] A Study on The Flower Species Recognition Method Using Meta Infomation for Class

〇Yoshihisa Kanou1 (1. NTT Resonant)

Keywords:Image Classification, Meta Data, Deep Learning

In recent years, many methods using deep learning have been proposed and have shown good results in image recognition tasks. Furthermore, improvement of recognition accuracy has been reported by using information attached to each data (metadata) for learning, such as multitask learning. However, the task of annotating metadata to each data is high cost, and the cost increases in proportion to the number of data.

In this study, we improve the image recognition accuracy by using the information given to the prediction class as metadata. In addition, we propose the loss function to avoid inconsistency of information with image and metadata caused by using information to classes as metadata. In the experiment, we verified the effectiveness of our method using flower images posted to our service and the color information given for each flower classes, and confirmed 1.49% improvement in accuracy over the comparison method.

Authentication for paper PDF access

A password is required to view paper PDFs. If you are a registered participant, please log on the site from Participant Log In.
You could view the PDF with entering the PDF viewing password bellow.