Neural Architecture Search for Lightweight Non-Local Networks

CVPR, pp. 10294-10303, 2020.

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We propose a neural architecture search algorithm to optimize the configuration of Lightweight Non-Local blocks

Abstract:

Non-Local (NL) blocks have been widely studied in various vision tasks. However, it has been rarely explored to embed the NL blocks in mobile neural networks, mainly due to the following challenges: 1) NL blocks generally have heavy computation cost which makes it difficult to be applied in applications where computational resources are...More

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