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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 | ||
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| 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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| Notes | Approved | no | |||
| Call Number | cidis @ cidis @ | Serial | 53 | ||
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