Searching for MobileNetV3

ICCV 2019 Andrew HowardMark SandlerGrace ChuLiang-Chieh ChenBo ChenMingxing TanWeijun WangYukun ZhuRuoming PangVijay VasudevanQuoc V. LeHartwig Adam

We present the next generation of MobileNets based on a combination of complementary search techniques as well as a novel architecture design. MobileNetV3 is tuned to mobile phone CPUs through a combination of hardware-aware network architecture search (NAS) complemented by the NetAdapt algorithm and then subsequently improved through novel architecture advances... (read more)

PDF Abstract ICCV 2019 PDF ICCV 2019 Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Semantic Segmentation Cityscapes test MobileNet V3-Large 1.0 Mean IoU (class) 72.6% # 40
Image Classification ImageNet MobileNet V3-Large 1.0 Top 1 Accuracy 75.2% # 122
Number of params 5.4M # 65

Methods used in the Paper