Accurate And Fast Fine-Grained Image Classification via Disc…

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  • DOI 10.1109/icme.2019.00115
  • OpenAlex ID W2965546495
  • Type Conference-paper
  • Language EN
  • Published 01 Jul 2019
  • Volume pp
  • Pages 634–639
  • Source IEEE International Conference on Multime…
  • FWCI 0.16
  • Countries 1
  • Institutions 2
  • Added 10 Oct 2025
  • Updated 21 Oct 2026
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Accurate And Fast Fine-Grained Image Classification via Discriminative Learning

Conference-paper 2019 EN

Currently, most top-performing Weakly supervised Fine-grained Image Classification (WFGIC) schemes tend to pick out discriminative patches. However, those patches usually contain much noise information, which influences the accuracy of the classification. Besides, they rely on a large amount of candidate patches to discover the discriminative ones, thus leading to high computational cost. To addre…

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5 authors
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1 Zhihui Wang Dalian University of Technolog… (CN)
2 Shijie Wang Dalian University of Technolog… (CN)
3 Pengbo Zhang Dalian University of Technolog… (CN)
4 Haojie Li Dalian University of Technolog… (CN)
5 Bo Liu Shanghai Jiao Tong University (CN)
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