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Deep Residual Learning for Image Recognition
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2016
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Xiangyu Zhang
Shaoqing Ren
Jian Sun
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6
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Fully convolutional networks for semantic segmentation
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2015
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Jonathan Long
Evan Shelhamer
Trevor Darrell
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The Cityscapes Dataset for Semantic Urban Scene Understanding
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2016
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Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
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Bernt Schiele
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5
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Neural Architecture Transfer
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2021
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Zhichao Lu
Gautam Sreekumar
Erik D. Goodman
Wolfgang Banzhaf
Kalyanmoy Deb
Vishnu Naresh Boddeti
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Multiobjective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification
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2020
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Zhichao Lu
Ian Whalen
Yashesh Dhebar
Kalyanmoy Deb
Erik D. Goodman
Wolfgang Banzhaf
Vishnu Naresh Boddeti
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BiSeNet: Bilateral Segmentation Network for Real-Time Semantic Segmentation
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2018
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Changqian Yu
Jingbo Wang
Chao Peng
Changxin Gao
Gang Yu
Nong Sang
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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
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2017
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Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
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4
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SSD: Single Shot MultiBox Detector
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2016
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Wei Liu
Dragomir Anguelov
Dumitru Erhan
Christian Szegedy
Scott Reed
Cheng-Yang Fu
Alexander C. Berg
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NSGANetV2: Evolutionary Multi-objective Surrogate-Assisted Neural Architecture Search
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2020
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Zhichao Lu
Kalyanmoy Deb
Erik D. Goodman
Wolfgang Banzhaf
Vishnu Naresh Boddeti
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4
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MUXConv: Information Multiplexing in Convolutional Neural Networks
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2020
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Zhichao Lu
Kalyanmoy Deb
Vishnu Naresh Boddeti
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4
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Regularized Evolution for Image Classifier Architecture Search
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2019
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Esteban Real
Alok Aggarwal
Yanping Huang
Quoc V. Le
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3
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ICNet for Real-Time Semantic Segmentation on High-Resolution Images
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2018
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Hengshuang Zhao
Xiaojuan Qi
Xiaoyong Shen
Jianping Shi
Jiaya Jia
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3
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Learning Transferable Architectures for Scalable Image Recognition
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2018
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Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
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3
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NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
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2019
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Golnaz Ghiasi
Tsung-Yi Lin
Quoc V. Le
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3
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Rethinking the Inception Architecture for Computer Vision
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2016
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Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jon Shlens
Zbigniew Wojna
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3
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In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images
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2019
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Marin Oršić
Ivan Krešo
Petra Bevandić
Siniša Šegvić
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3
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DSSD : Deconvolutional Single Shot Detector
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2017
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Cheng-Yang Fu
Wei Liu
Ananth Ranga
Ambrish Tyagi
Alexander C. Berg
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3
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Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
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2019
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Chenxi Liu
Liang-Chieh Chen
Florian Schroff
Hartwig Adam
Wei Hua
Alan Yuille
Li Fei-Fei
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3
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Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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2017
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Christian Ledig
Lucas Theis
Ferenc Huszár
José Caballero
Andrew Cunningham
Alejandro Acosta
Andrew P. Aitken
Alykhan Tejani
Johannes Totz
Zehan Wang
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3
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Learning Deconvolution Network for Semantic Segmentation
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2015
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Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
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3
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ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network
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2019
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Sachin Mehta
Mohammad Rastegari
Linda G. Shapiro
Hannaneh Hajishirzi
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3
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COCO-Stuff: Thing and Stuff Classes in Context
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2018
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Holger Caesar
Jasper Uijlings
Vittorio Ferrari
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3
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MnasNet: Platform-Aware Neural Architecture Search for Mobile
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2019
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Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew Howard
Quoc V. Le
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3
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Densely Connected Convolutional Networks
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2017
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Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
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3
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EDVR: Video Restoration With Enhanced Deformable Convolutional Networks
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2019
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Xintao Wang
Kelvin C. K. Chan
Ke Yu
Chao Dong
Chen Change Loy
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2
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Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
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2018
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Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
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2
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Xception: Deep Learning with Depthwise Separable Convolutions
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2017
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François Chollet
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2
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Deformable ConvNets V2: More Deformable, Better Results
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2019
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Xizhou Zhu
Han Hu
Stephen Lin
Jifeng Dai
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2
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Rethinking Atrous Convolution for Semantic Image Segmentation
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2017
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Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
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2
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Improved Regularization of Convolutional Neural Networks with Cutout
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2017
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Terrance DeVries
Graham W. Taylor
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A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications
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2017
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Ankur Sinha
Pekka Malo
Kalyanmoy Deb
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Adam: A Method for Stochastic Optimization
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1997
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Wide Residual Networks
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DARTS+: Improved Differentiable Architecture Search with Early Stopping
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Shifeng Zhang
Jiacheng Sun
Xingqiu He
Weiran Huang
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Zhenguo Li
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Progressive Neural Architecture Search
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2018
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Chenxi Liu
Barret Zoph
Maxim Neumann
Jonathon Shlens
Hua Wei
Li-Jia Li
Li Fei-Fei
Alan Yuille
Jonathan Huang
Kevin Murphy
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Panoptic Feature Pyramid Networks
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2019
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Alexander Kirillov
Ross Girshick
Kaiming He
Piotr Dollár
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Path Aggregation Network for Instance Segmentation
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2018
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Shu Liu
Lu Qi
Haifang Qin
Jianping Shi
Jiaya Jia
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Simple Baselines for Human Pose Estimation and Tracking
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2018
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Bin Xiao
Haiping Wu
Yichen Wei
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2
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ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
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2018
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Sachin Mehta
Mohammad Rastegari
Anat Caspi
Linda G. Shapiro
Hannaneh Hajishirzi
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2
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PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization
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2017
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Ye Tian
Ran Cheng
Xingyi Zhang
Yaochu Jin
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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
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2017
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Vijay Badrinarayanan
A. C. Kendall
Roberto Cipolla
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ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
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2018
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Ningning Ma
Xiangyu Zhang
Hai-Tao Zheng
Jian Sun
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2
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ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
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2018
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Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
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Deformable Convolutional Networks
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2017
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Jifeng Dai
Haozhi Qi
Yuwen Xiong
Yi Li
Guodong Zhang
Han Hu
Yichen Wei
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Continuous Multivariate Distributions
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2014
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N. Balakrishnan
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Feature Pyramid Networks for Object Detection
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2017
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Tsung-Yi Lin
Piotr Dollár
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
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2
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You Only Look Once: Unified, Real-Time Object Detection
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2016
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Joseph Redmon
Santosh Divvala
Ross Girshick
Ali Farhadi
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A genetic programming approach to designing convolutional neural network architectures
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2017
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Masanori Suganuma
Shinichi Shirakawa
Tomoharu Nagao
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2
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Going deeper with convolutions
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2015
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Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
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2
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