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20142022
most citedMobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

9.8k citations · 13.3k across the 16 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.LG2017★ 28 cited

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

Benoit Jacob, Skirmantas Kligys, Bo Chen +5

The rising popularity of intelligent mobile devices and the daunting computational cost of deep learning-based models call for efficient and accurate on-device inference schemes. W…

cs.CV2017★ 42 cited

Mobile Video Object Detection with Temporally-Aware Feature Maps

Mason Liu, Menglong Zhu

This paper introduces an online model for object detection in videos designed to run in real-time on low-powered mobile and embedded devices. Our approach combines fast single-imag…

cs.CV2017★ 36 cited

Automatic Spatially-aware Fashion Concept Discovery

Xintong Han, Zuxuan Wu, Phoenix X. Huang +5

This paper proposes an automatic spatially-aware concept discovery approach using weakly labeled image-text data from shopping websites. We first fine-tune GoogleNet by jointly mod…

cs.CV2017★ 9.8k cited

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Andrew G. Howard, Menglong Zhu, Bo Chen +5

We present a class of efficient models called MobileNets for mobile and embedded vision applications. MobileNets are based on a streamlined architecture that uses depth-wise separa…

cs.CV2017★ 18 cited

MonoCap: Monocular Human Motion Capture using a CNN Coupled with a Geometric Prior

Xiaowei Zhou, Menglong Zhu, Georgios Pavlakos +3

Recovering 3D full-body human pose is a challenging problem with many applications. It has been successfully addressed by motion capture systems with body worn markers and multiple…