An efficient transformer algorithm for image recognition based on ensemble learning methodology

Yihong Tang

doi:10.1117/12.2604565

5 October 2021 An efficient transformer algorithm for image recognition based on ensemble learning methodology

Yihong Tang

Proceedings Volume 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning; 119111G (2021) https://doi.org/10.1117/12.2604565
Event: 2nd International Conference on Computer Vision, Image and Deep Learning, 2021, Liuzhou, China

Abstract

Cassava is an important food security crop in Africa because it can withstand harsh environments. However, viral diseases are the main reason for crop failure. Based on photos of cassava provided by local farmers in Africa, it is possible to use deep learning technology to identify some common viral diseases so that they can be treated. This paper introduced an image classification algorithm based on an ensemble learning[4] model, which combined Vision Transformer[2] and EfficientNet [1]. The practice has proved that the model proposed in this paper has a certain improvement in performance compared with traditional image classification methods and can effectively help local farmers.

Citation Download Citation

Yihong Tang "An efficient transformer algorithm for image recognition based on ensemble learning methodology", Proc. SPIE 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning, 119111G (5 October 2021); https://doi.org/10.1117/12.2604565

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