Searching for MobileNetV3 | VitaVision
PaperICCV 2019 (arXiv 2019) · 2019

Searching for MobileNetV3

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ModelPrimary source of
MobileNetV3

Mobile-CPU-latency-targeted CNN backbone found by combined platform-aware NAS and NetAdapt, built from MobileNetV2 inverted-residual blocks augmented with squeeze-and-excitation and the h-swish nonlinearity, plus a Lite Reduced ASPP segmentation decoder; trained on ImageNet-1k and adapted to detection and segmentation.

Cited as a reference by 2 pages, grouped by domain

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’15’16’17’18’19Fully Convolutional Networks for Semantic Segmentation (2015)DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs (2018)