Deep learning based on GAIN for mimesis
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- TOMONO Kai
- University of Tsukuba
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- NOBUHARA Hajime
- University of Tsukuba
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- KAWAI Shin
- University of Tsukuba
Bibliographic Information
- Other Title
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- 擬態によって学習・識別困難な対象のGAINに基づく深層学習
Description
<p>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.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2019 (0), 4I2J202-4I2J202, 2019
The Japanese Society for Artificial Intelligence
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Keywords
Details 詳細情報について
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- CRID
- 1390282763120138112
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- NII Article ID
- 130007658853
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed