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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格式: | Final Year Project |
語言: | English |
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Nanyang Technological University
2023
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在線閱讀: | https://hdl.handle.net/10356/167399 |
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