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Improved attentive pairwise interaction (API-Net) for fine-grained image classification

Fine-grained classification is a challenging problem as one has to deal with a similar class of objects but with various types of variations. For more elaboration, they are almost similar and have subtle differences, and are confusing. In this study, aircraft will be the fine-grained object to be fo...

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Bibliographic Details
Main Authors: Yet, Ong Zu, Rassem, Taha H., Rahman, Md. Arafatur, M. M., Rahman
Format: Conference or Workshop Item
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:
HD Industries. Land use. Labor
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/35448/2/Improved%20attentive%20pairwise%20interaction%20%28API-Net%29%20for%20fine-grained%20image%20classification_Abs.pdf
http://umpir.ump.edu.my/id/eprint/35448/
https://doi.org/10.1109/ETCCE54784.2021.9689910
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Internet

http://umpir.ump.edu.my/id/eprint/35448/2/Improved%20attentive%20pairwise%20interaction%20%28API-Net%29%20for%20fine-grained%20image%20classification_Abs.pdf
http://umpir.ump.edu.my/id/eprint/35448/
https://doi.org/10.1109/ETCCE54784.2021.9689910

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