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Google MorphNet makes your neural net faster and smaller

Google MorphNet makes your neural net faster and smaller


MorphNet is a Google Model to Build Faster and Smaller Neural Networks

Fine-Grained Stochastic Architecture Search

arXiv paper abstract https://arxiv.org/abs/2006.09581


State-of-the-art deep networks are often too large to deploy on mobile devices and embedded systems.

... introduce Fine-Grained Stochastic Architecture Search (FiGS)

... FiGS simultaneously selects and modifies operators in the search space by applying a structured sparse regularization penalty based on the Logistic-Sigmoid distribution.

... producing state-of-the-art parameter-efficient models on ImageNet (e.g., 75.4% top-1 with 2.6M params).

... we achieve significantly higher mAP on COCO (e.g., 25.8 with 3.0M params) than MobileNetV3 and MnasNet.


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