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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Main Authors: | Yet, Ong Zu, Rassem, Taha H., Rahman, Md. Arafatur, M. M., Rahman |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
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Subjects: | |
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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