A CNN-ViT Hybrid Architecture Search Benchmark on a Large-Scale Dataset
In recent years, Neural Architecture Search (NAS) has emerged as a promising methodology to automate the design of deep neural networks, enabling the discovery of high-performing architectures across a wide range of tasks. Due to the high computational cost associated with NAS, several benchmarks ha...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
IEEE
2025-01-01
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| Edice: | IEEE Access |
| Témata: | |
| On-line přístup: | https://ieeexplore.ieee.org/document/11296795/ |
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