Feature Correlation Residual Network for Fine-Grained Image Recognition
Learning discriminative features for visually similar classes is crucial for fine-grained image recognition tasks. Bilinear pooling models use the outer product of embedding features to enhance the representation capability and achieve favorable classification performance. However, these models caus...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Assuntos: | |
| Acceso en liña: | https://ieeexplore.ieee.org/document/9272311/ |
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