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MobileNetV2: Inverted Residuals and Linear Bottlenecks
v1v2v3v4 (latest)

MobileNetV2: Inverted Residuals and Linear Bottlenecks

13 January 2018
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
ArXiv (abs)PDFHTML

Papers citing "MobileNetV2: Inverted Residuals and Linear Bottlenecks"

50 / 4,681 papers shown
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Post-hoc Uncertainty Calibration for Domain Drift Scenarios
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Florian Buettner
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Marcus Rohrbach
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Ekya: Continuous Learning of Video Analytics Models on Edge Compute
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Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj
Zhengxu Xia
Ganesh Ananthanarayanan
Junchen Jiang
Nikolaos Karianakis
Yuanchao Shu
Kevin Hsieh
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169
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Resource-efficient DNNs for Keyword Spotting using Neural Architecture
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Resource-efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization
David Peter
Wolfgang Roth
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18 Dec 2020
Neural Pruning via Growing Regularization
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Can Qin
Yulun Zhang
Y. Fu
109
148
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Provable Benefits of Overparameterization in Model Compression: From
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Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks
Xiangyu Chang
Yingcong Li
Samet Oymak
Christos Thrampoulidis
86
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0
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Two-Stage Copy-Move Forgery Detection with Self Deep Matching and
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Chao Xia
Xiaobin Zhu
Shengwei Xu
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Improved Digital Therapy for Developmental Pediatrics Using
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Peter Washington
H. Kalantarian
Jack Kent
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...
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55
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Wasserstein Contrastive Representation Distillation
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Ricardo Henao
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Real-Time High-Resolution Background Matting
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Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU
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EfficientPose: Efficient Human Pose Estimation with Neural Architecture
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Wenqiang Zhang
Jiemin Fang
Xinggang Wang
Wenyu Liu
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0
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A. Khetan
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AIforCOVID: predicting the clinical outcomes in patients with COVID-19
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N. DÁmico
J. Tessadori
G. Valbusa
V. Guarrasi
...
Alessio Del Bue
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Marco Alì
Diego Sona
S. Papa
77
75
0
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Hans-Peter Seidel
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116
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Large-Scale Generative Data-Free Distillation
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Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization
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MQ
91
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Efficient Human Pose Estimation with Depthwise Separable Convolution and
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Practical No-box Adversarial Attacks against DNNs
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0
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DenserNet: Weakly Supervised Visual Localization Using Multi-scale
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Wisdom of Committees: An Overlooked Approach To Faster and More Accurate
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NPAS: A Compiler-aware Framework of Unified Network Pruning and
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Delving Deep into Label Smoothing
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