Fine-grained image recognition based on integrated transfer learning

Jingyuan He; Bailong Yang; Haiyu Yang; Qiang Bian; Yuxin Luo

doi:10.1117/12.2646352

23 August 2022 Fine-grained image recognition based on integrated transfer learning

Jingyuan He, Bailong Yang, Haiyu Yang, Qiang Bian, Yuxin Luo

Proceedings Volume 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022); 123300U (2022) https://doi.org/10.1117/12.2646352
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 2022, Huzhou, China

Abstract

In order to improve the accuracy of fine-grained image recognition, a fine-grained image recognition method based on integrated transfer learning is proposed. This method uses two models of VGG-16 and inception-v3, combined with transfer learning to construct a K-selection transfer learning algorithm. The network model parameters pre-trained on the large-scale natural image dataset ImageNet are transferred to the transfer framework model of the fine-grained image dataset, and the network model is fine-tuned. The algorithm proposed in this paper is tested on CUB-200-2011 dataset, Oxford 102 Flower dataset, Stanford Cars dataset, FGVC-Aircraft dataset and Stanford Dogs dataset. The experimental results show that, compared with existing algorithms, the proposed algorithm has improved fine-grained image recognition accuracy under different models, and has optimized the adaptive effect of migration.

Citation Download Citation

Jingyuan He, Bailong Yang, Haiyu Yang, Qiang Bian, and Yuxin Luo "Fine-grained image recognition based on integrated transfer learning", Proc. SPIE 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 123300U (23 August 2022); https://doi.org/10.1117/12.2646352

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available