Filter Pruning with Convolutional Approximation Small Model Framework
Convolutional neural networks (CNNs) are extensively utilized in computer vision; however, they pose challenges in terms of computational time and storage requirements. To address this issue, one well-known approach is filter pruning. However, fine-tuning pruned models necessitates substantial compu...
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| Autores principales: | , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2023-09-01
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| Colección: | Computation |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/2079-3197/11/9/176 |
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