Ấn phẩm:
An effective deep learning model for reco gnition of animals an d plants
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This paper presents a deep learning model to address the problem of recognition of animals and plants. The context of this work is to make an effrt in protection of rare species that are seriously faced to the risk of extinction in Vietnam such as Panthera pardus, Dalbergia cochinchinensis, Macaca mulatta. The proposed approach exploits the advanced learning ability of convolutional neural networks and Inception residual structures to design a lightweight model for classifiation task. We also apply the transfer-learning technique to fie-tune the two state-ofthe-art methods, MobileNetV2 and InceptionV3, specifi to our own dataset. Experimental results demonstrate the superiority of our object predictor (e.g., 97 .6% accuracy) in comparison with other methods. In addition, the proposed model works very effiently with the inference speed of around 113 FPS on a CPU machine, enabling it for deployment on mobile environment.
Mô tả
Journal of Computer Science and Cybernetics, Vol.38, No.1
Tác giả
Trịnh, Thi Anh Loan
Pham, The Anh
Le, Viet Nam
Hoang, Van Dung
Người hướng dẫn
Nơi xuất bản
Nhà xuất bản
Viện Công nghệ thông tin, Viện Hàn lâm Khoa học và Công nghệ Việt Nam
Năm xuất bản
2022-03
ISSN tạp chí
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Từ khóa chủ đề
Deep learning models , Classifiation losses , Feature pyramid network