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Deep Residual Learning for Image Recognition
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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12
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Feature Pyramid Networks for Object Detection
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2017
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Tsung-Yi Lin
Piotr DollĂĄr
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
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7
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Deep Networks with Stochastic Depth
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2016
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Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
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7
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MobileNetV2: Inverted Residuals and Linear Bottlenecks
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2018
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Mark Sandler
Andrew Howard
Menglong Zhu
Andrey Zhmoginov
Liang-Chieh Chen
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7
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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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6
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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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6
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Multi-Scale Context Aggregation by Dilated Convolutions
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2015
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Fisher Yu
Vladlen Koltun
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6
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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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6
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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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6
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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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5
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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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5
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Squeeze-and-Excitation Networks
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2018
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Jie Hu
Li Shen
Gang Sun
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5
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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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5
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ImageNet Large Scale Visual Recognition Challenge
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2015
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Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
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5
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Focal Loss for Dense Object Detection
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2017
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Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr DollĂĄr
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5
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Stacked Hourglass Networks for Human Pose Estimation
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2016
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Alejandro Newell
Kaiyu Yang
Jia Deng
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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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4
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EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
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2019
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Mingxing Tan
Quoc V. Le
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4
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Pyramid Scene Parsing Network
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2017
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Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
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4
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Aggregated Residual Transformations for Deep Neural Networks
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2017
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Saining Xie
Ross Girshick
Piotr DollĂĄr
Zhuowen Tu
Kaiming He
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4
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Neural Architecture Search with Reinforcement Learning
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2016
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Barret Zoph
Quoc V. Le
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4
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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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4
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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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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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4
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Bag of Tricks for Image Classification with Convolutional Neural Networks
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2019
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Tong He
Zhi Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
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4
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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2014
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Karen Simonyan
Andrew Zisserman
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3
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Scale-aware Fast R-CNN for Pedestrian Detection
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2015
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Jianan Li
Xiaodan Liang
ShengMei Shen
Tingfa Xu
Jiashi Feng
Shuicheng Yan
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3
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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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3
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Computation Reallocation for Object Detection
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2019
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Feng Liang
Ronghao Guo
Lin Chen
Ming Sun
Wei Wu
Junjie Yan
Wanli Ouyang
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3
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EfficientDet: Scalable and Efficient Object Detection
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2020
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Mingxing Tan
Ruoming Pang
Quoc V. Le
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3
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Deep High-Resolution Representation Learning for Visual Recognition
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2019
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Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
Yang Zhao
Dong Liu
Yadong Mu
Mingkui Tan
Xinggang Wang
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3
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GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism
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2018
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Yanping Huang
Youlong Cheng
Ankur Bapna
Orhan Fırat
Mia Xu Chen
Dehao Chen
HyoukJoong Lee
Jiquan Ngiam
Quoc V. Le
Yonghui Wu
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3
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SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
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2020
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Xianzhi Du
Tsung-Yi Lin
Pengchong Jin
Golnaz Ghiasi
Mingxing Tan
Yin Cui
Quoc V. Le
Xiaodan Song
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3
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ParseNet: Looking Wider to See Better
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2015
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Wei Liu
Andrew Rabinovich
Alexander C. Berg
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3
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Wide Residual Networks
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2016
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Sergey Zagoruyko
Nikos Komodakis
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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
Ruoming Pang
Quoc V. Le
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3
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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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3
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Fused DNN: A Deep Neural Network Fusion Approach to Fast and Robust Pedestrian Detection
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2017
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Xianzhi Du
Mostafa ElâKhamy
Jungwon Lee
Larry S. Davis
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3
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Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
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2017
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Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
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3
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Searching for Activation Functions
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2017
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Prajit Ramachandran
Barret Zoph
Quoc V. Le
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3
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Squeeze-and-Excitation Networks
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2019
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Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
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3
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Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors
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2017
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Jonathan Huang
Vivek Rathod
Chen Sun
Menglong Zhu
Anoop Korattikara
Alireza Fathi
Ian Fischer
Zbigniew Wojna
Yang Song
Sergio Guadarrama
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3
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YOLOv3: An Incremental Improvement.
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2018
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Joseph Redmon
Ali Farhadi
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3
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Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
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2017
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Priya Goyal
Piotr DollĂĄr
Ross Girshick
Pieter Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
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3
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Searching for MobileNetV3.
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2019
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Andrew Howard
Mark Sandler
Grace Chu
Liang-Chieh Chen
Bo Chen
Mingxing Tan
Weijun Wang
Yukun Zhu
Ruoming Pang
Vijay Vasudevan
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3
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Large Kernel Matters â Improve Semantic Segmentation by Global Convolutional Network
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2017
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Chao Peng
Xiangyu Zhang
Gang Yu
Guiming Luo
Jian Sun
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3
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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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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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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
Stefan Roth
Bernt Schiele
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2
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SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
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2016
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Forrest Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
William J. Dally
Kurt Keutzer
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2
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