Menglong Zhu

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Andrew G. Howard

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Publications

2021
[i16]
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  - journals/corr/abs-2101-01260
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Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew Howard, Marco Fornoni:
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. CoRR abs/2101.01260 (2021)
2020
[c17]
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  - conf/accv/YeK0ZHF20
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Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni:
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. ACCV (6) 2020: 239-256
[c16]
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  - conf/eccv/YeKSZHF20
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Keren Ye, Adriana Kovashka, Mark Sandler, Menglong Zhu, Andrew G. Howard, Marco Fornoni:
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection. ECCV Workshops (1) 2020: 636-640
2018
[c14]
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  - conf/cvpr/JacobKCZTHAK18
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Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew G. Howard, Hartwig Adam, Dmitry Kalenichenko:
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference. CVPR 2018: 2704-2713
[c13]
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  - conf/cvpr/SandlerHZZC18
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Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen:
MobileNetV2: Inverted Residuals and Linear Bottlenecks. CVPR 2018: 4510-4520
[i13]
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  - journals/corr/abs-1801-04381
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Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen:
Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation. CoRR abs/1801.04381 (2018)
2017
[i10]
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  - journals/corr/HowardZCKWWAA17
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Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, Hartwig Adam:
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications. CoRR abs/1704.04861 (2017)
[i7]
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  - journals/corr/abs-1712-05877
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Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew G. Howard, Hartwig Adam, Dmitry Kalenichenko:
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference. CoRR abs/1712.05877 (2017)

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