Exploring Randomly Wired Neural Networks for Image Recognition

    International Conference on Computer Vision, pp. 1284-1293, 2019.

    Cited by: 82|Bibtex|Views121|Links
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    Abstract:

    Neural networks for image recognition have evolved through extensive manual design from simple chain-like models to structures with multiple wiring paths. The success of ResNets and DenseNets is due in large part to their innovative wiring plans. Now, neural architecture search (NAS) studies are exploring the joint optimization of wiring ...More

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