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20172023
most citedMobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

9.8k citations · 12.4k across the 20 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 2 cited

Non-discriminative data or weak model? On the relative importance of data and model resolution

Mark Sandler, Jonathan Baccash, Andrey Zhmoginov +1

We explore the question of how the resolution of the input image ("input resolution") affects the performance of a neural network when compared to the resolution of the hidden laye…

cs.CV2019★ 84 cited

Visual Wake Words Dataset

Aakanksha Chowdhery, Pete Warden, Jonathon Shlens +2

The emergence of Internet of Things (IoT) applications requires intelligence on the edge. Microcontrollers provide a low-cost compute platform to deploy intelligent IoT application…

cs.CV2019★ 6 cited

Geo-Aware Networks for Fine-Grained Recognition

Grace Chu, Brian Potetz, Weijun Wang +5

Fine-grained recognition distinguishes among categories with subtle visual differences. In order to differentiate between these challenging visual categories, it is helpful to leve…

cs.CV2019

Searching for MobileNetV3

Andrew Howard, Mark Sandler, Grace Chu +9

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…

cs.CV2019★ 5 cited

Low-Power Computer Vision: Status, Challenges, Opportunities

Sergei Alyamkin, Matthew Ardi, Alexander C. Berg +41

Computer vision has achieved impressive progress in recent years. Meanwhile, mobile phones have become the primary computing platforms for millions of people. In addition to mobile…