Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation

386 indexed citations

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This paper, published in 2018, received 386 indexed citations. Written by Andrew Howard, Andrey Zhmoginov, Liang-Chieh Chen, Mark Sandler and Menglong Zhu covering the research area of Artificial Intelligence and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Computer Vision and Pattern Recognition (236 citations), Artificial Intelligence (111 citations) and Electrical and Electronic Engineering (60 citations). Published in arXiv (Cornell University).

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Fields of papers citing Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

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This paper is also available at doi.org/w7237075.

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