Keyword [MobileNetV2]
Sandler M, Howard A, Zhu M, et al. Mobilenetv2: Inverted residuals and linear bottlenecks[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018: 4510-4520.
1. Overview
In this paper, it proposes MobileNetV2
1) Inverted Residuals (expand→depthwise→compress)
2) Linear Bottlenecks (remove last ReLu)
2. Details
2.1. Depthwise Separable Conv (DSC)
1) Conv. $k \times k \times c_{in} \times c_{out}$
2) DSC. $k \times k \times c_{in} + 1 \times 1 \times c_{in} \times c_{out}$
Almost $k^2$ times.
2.2. Inverted Residuals and Linear Bottlenecks
1) expansion rates between 5 and 10. set $t=6$ in this paper
2) remove ReLu behind final $1\times 1$ Conv
2.3. MobileNetV2
3. Comparison
