JSAI2019

Presentation information

General Session

General Session » [GS] J-2 Machine learning

[4I2-J-2] Machine learning: uncertainty of targets

Fri. Jun 7, 2019 12:00 PM - 1:20 PM Room I (306+307 Small meeting rooms)

Chair:Kazuhiro Hotta Reviewer:Akisato Kimura

12:20 PM - 12:40 PM

[4I2-J-2-02] Deep learning based on GAIN for mimesis

〇Kai Tomono1, Hajime Nobuhara1, Shin Kawai1 (1. University of Tsukuba)

Keywords:Anolis carolinensis, bias

The bias of the training image data is considered to have a great in uence on the identi cation of mimicable
organisms. The purpose of this study is to examine the effectiveness of Guided Attention Inference Networks
(GAIN) for recognizing the Anolis carolinensis. We also con rmed the improvement of classi cation accuracy from
the veri cation results.