%0 Journal Article %1 https://doi.org/10.48550/arxiv.1801.04381 %A Sandler, Mark %A Howard, Andrew %A Zhu, Menglong %A Zhmoginov, Andrey %A Chen, Liang-Chieh %D 2018 %I arXiv %K Deep-neural-networks %R 10.48550/ARXIV.1801.04381 %T MobileNetV2: Inverted Residuals and Linear Bottlenecks %U https://arxiv.org/abs/1801.04381

@article{https://doi.org/10.48550/arxiv.1801.04381, added-at = {2023-01-05T04:03:49.000+0100}, author = {Sandler, Mark and Howard, Andrew and Zhu, Menglong and Zhmoginov, Andrey and Chen, Liang-Chieh}, biburl = {https://www.bibsonomy.org/bibtex/24d7a35457d83688e48fe8c301e9bcff2/andolab}, copyright = {arXiv.org perpetual, non-exclusive license}, doi = {10.48550/ARXIV.1801.04381}, interhash = {450b0c265cfaede2d318f1230eba4868}, intrahash = {4d7a35457d83688e48fe8c301e9bcff2}, keywords = {Deep-neural-networks}, publisher = {arXiv}, timestamp = {2023-03-06T19:00:38.000+0100}, title = {MobileNetV2: Inverted Residuals and Linear Bottlenecks}, url = {https://arxiv.org/abs/1801.04381}, year = 2018 }