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

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

• Author: Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen
• Origin: https://arxiv.org/abs/1801.04381
• Related:
  • https://github.com/tensorflow/models/tree/master/research/slim/nets/mobilenet
  • https://github.com/chinakook/MobileNetV2.mxnet
  • https://github.com/MG2033/MobileNet-V2
  • https://github.com/tonylins/pytorch-mobilenet-v2
  • https://github.com/chuanqi305/MobileNetv2-SSDLite
  • https://github.com/cjerry1243/MobilenetV2_tf_to_caffe

MobileNetV2

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cascaded_mobilenet-v2: cascaded convolutional neural network for facial point detecti

• https://github.com/tensor-yu/cascaded_mobilenet-v2
• http://blog.csdn.net/u011995719/article/details/79435615

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MobileNetV2: The Next Generation of On-Device Computer Vision Networks https://research.googleblog.com/2018/04/mobilenetv2-next-generation-of-on.html?m=1

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MobileNet version 2 http://machinethink.net/blog/mobilenet-v2/

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How fast is my model? http://machinethink.net/blog/how-fast-is-my-model/