Exploiting multi-scale hierarchical feature representation for visual tracking
Abstract Convolutional neural networks (CNNs) have been the dominant architectures for feature extraction tasks, but CNNs do not look for and focus on some specific image features. Correlation operations play an important role in visual tracking. However, the correlation operation reserves a large a...
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| Autores principales: | , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Springer
2024-02-01
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| Colección: | Complex & Intelligent Systems |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/s40747-024-01345-y |
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