Towards better fine-grained visual classification: an attention-based, hierarchical approach

Unlike general object classification, which uses convolutional neural networks (CNNs), fine-grained visual classification (FGVC) is a challenging problem that involves categorizing objects belong to different subcategories with subtle fine-grained details. Furthermore, most fine-grained categories i...

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Bibliographic Details
Main Author: Gao, Manrong
Other Authors: Jiang Xudong
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/167399
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Institution: Nanyang Technological University
Language: English
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