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Author Juan A. Carvajal; Dennis G. Romero; Angel D. Sappa
Title Fine-tuning based deep covolutional networks for lepidopterous genus recognition Type Conference Article
Year 2016 Publication XXI IberoAmerican Congress on Pattern Recognition Abbreviated Journal
Volume Issue Pages 1-9
Abstract This paper describes an image classi cation approach ori- ented to identify specimens of lepidopterous insects recognized at Ecuado- rian ecological reserves. This work seeks to contribute to studies in the area of biology about genus of butter ies and also to facilitate the reg- istration of unrecognized specimens. The proposed approach is based on the ne-tuning of three widely used pre-trained Convolutional Neural Networks (CNNs). This strategy is intended to overcome the reduced number of labeled images. Experimental results with a dataset labeled by expert biologists, is presented|a recognition accuracy above 92% is reached. 1 Introductio
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Call Number cidis @ cidis @ Serial 53
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