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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Bibliografiske detaljer

Principais autores:	Luca Robbiano, Francesca Pistilli, Giuseppe Averta
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2025-01-01
Serier:	IEEE Access
Fag:	Computer vision deep learning neural architecture search automl benchmark
Online adgang:	https://ieeexplore.ieee.org/document/11296795/
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