References

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Mingxing Tan & Quoc V. Le (2019)

arXiv.

DOI: https://doi.org/10.48550/arxiv.1905.11946

Abstract. Uses neural architecture search to discover a baseline CNN and proposes compound scaling, uniformly scaling depth, width, and resolution by a fixed ratio, to produce a family of models that achieve state-of-the-art accuracy at every computational budget.

Tags: cnn efficientnet nas

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