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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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6
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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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5
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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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5
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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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5
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Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach
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2017
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Yunchao Wei
Jiashi Feng
Xiaodan Liang
MingâMing Cheng
Yao Zhao
Shuicheng Yan
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4
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STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation
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2016
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Yunchao Wei
Xiaodan Liang
Yunpeng Chen
Xiaohui Shen
MingâMing Cheng
Jiashi Feng
Yao Zhao
Shuicheng Yan
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3
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Learning Deep Features for Discriminative Localization
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2016
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Bolei Zhou
Aditya Khosla
Ăgata Lapedriza
Aude Oliva
Antonio Torralba
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3
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Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
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2016
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Seunghoon Hong
Junhyuk Oh
Honglak Lee
Bohyung Han
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3
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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
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2016
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Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
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3
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Conditional Random Fields as Recurrent Neural Networks
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2015
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Shuai Zheng
Sadeep Jayasumana
Bernardino RomeraâParedes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip H. S. Torr
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3
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Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
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2014
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Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
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3
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Fully Convolutional Multi-Class Multiple Instance Learning
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2014
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Deepak Pathak
Evan Shelhamer
Jonathan Long
Trevor Darrell
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2
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Incorporating Network Built-in Priors in Weakly-Supervised Semantic Segmentation
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2017
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Fatemeh Sadat Saleh
Mohammad Sadegh Aliakbarian
Mathieu Salzmann
Lars Petersson
Jose M. Ălvarez
Stephen Jay Gould
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2
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From image-level to pixel-level labeling with Convolutional Networks
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2015
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Pedro O. Pinheiro
Ronan Collobert
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2
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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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2
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ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
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2016
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Di Lin
Jifeng Dai
Jiaya Jia
Kaiming He
Jian Sun
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2
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Computational Baby Learning
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2014
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Xiaodan Liang
Si Liu
Yunchao Wei
Luoqi Liu
Liang Lin
Shuicheng Yan
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2
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BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
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2015
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Jifeng Dai
Kaiming He
Jian Sun
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2
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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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2
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Identity Mappings in Deep Residual Networks
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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2
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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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2
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PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN
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2017
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Hanwang Zhang
Zawlin Kyaw
Jinyang Yu
ShihâFu Chang
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2
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Self-explanatory Deep Salient Object Detection
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2017
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Huaxin Xiao
Jiashi Feng
Yunchao Wei
Maojun Zhang
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2
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Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
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2012
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Philipp Krähenbßhl
Vladlen Koltun
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2
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Weakly Supervised Semantic Segmentation Using Web-Crawled Videos
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2017
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Seunghoon Hong
Donghun Yeo
Suha Kwak
Honglak Lee
Bohyung Han
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2
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Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation
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2016
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Jordi Pont-Tuset
Pablo ArbelĂĄez
Jonathan T. Barron
Ferran MarquĂŠs
Jitendra Malik
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2
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Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation
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2016
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Fatemehsadat Saleh
Mohammad Sadegh Ali Akbarian
Mathieu Salzmann
Lars Petersson
Stephen Jay Gould
Jose M. Ălvarez
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2
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HCP: A Flexible CNN Framework for Multi-Label Image Classification
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2015
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Yunchao Wei
Wei Xia
Min Lin
Junshi Huang
Bingbing Ni
Jian Dong
Yao Zhao
Shuicheng Yan
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2
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Simple Does It: Weakly Supervised Instance and Semantic Segmentation
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2017
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Anna Khoreva
Rodrigo Benenson
Jan Hosang
Matthias Hein
Bernt Schiele
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2
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Accurate Image Super-Resolution Using Very Deep Convolutional Networks
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2016
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Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
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2
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Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
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2015
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George Papandreou
Liang-Chieh Chen
Kevin Murphy
Alan Yuille
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2
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Surveillance Video Parsing with Single Frame Supervision
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2017
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Si Liu
Changhu Wang
Ruihe Qian
Yu Han
Renda Bao
Yao Sun
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2
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Learning to Segment Human by Watching YouTube
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2016
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Xiaodan Liang
Yunchao Wei
Liang Lin
Yunpeng Chen
Xiaohui Shen
Shuicheng Yan
Shuicheng Yan
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2
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Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation
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2016
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Fatemehsadat Saleh
Mohammad Sadegh Aliakbarian
Mathieu Salzmann
Lars Petersson
Stephen Jay Gould
Jose M. Ălvarez
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2
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DAG-Recurrent Neural Networks for Scene Labeling
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2016
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Bing Shuai
Zhen Zuo
Bing Wang
Gang Wang
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1
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MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
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2015
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Tianqi Chen
Mu Li
Yutian Li
Min Lin
Naiyan Wang
Minjie Wang
Tianjun Xiao
Bing Xu
Chiyuan Zhang
Zheng Zhang
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1
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ReSeg: A Recurrent Neural Network for Object Segmentation
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2015
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Francesco Visin
Kyle Kastner
Aaron Courville
Yoshua Bengio
Matteo Matteucci
Kyunghyun Cho
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1
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Unsupervised Learning of Visual Structure using Predictive Generative Networks
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2015
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William Lotter
Gabriel Kreiman
David Cox
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1
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Fully Convolutional Networks for Semantic Segmentation
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2016
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Evan Shelhamer
Jonathan Long
Trevor Darrell
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1
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DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
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2016
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Xi Li
Li-Ming Zhao
Lina Wei
MingâHsuan Yang
Fei Wu
Yueting Zhuang
Haibin Ling
Jingdong Wang
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1
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Dense Optical Flow Prediction from a Static Image
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2015
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Jacob Walker
Abhinav Gupta
Martial Hebert
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1
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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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1
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Higher Order Recurrent Neural Networks
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2016
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Rohollah Soltani
Hui Jiang
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1
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Pixel-Level Encoding and Depth Layering for Instance-Level Semantic Labeling
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2016
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Jonas Uhrig
Marius Cordts
Uwe Franke
Thomas Brox
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1
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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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1
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Deep Saliency with Encoded Low Level Distance Map and High Level Features
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2016
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GaâYoung Lee
YuâWing Tai
Junmo Kim
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1
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Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
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2016
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Qianli Liao
Tomaso Poggio
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1
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Wide Residual Networks
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2016
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Sergey Zagoruyko
Nikos Komodakis
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1
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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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1
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Striving for Simplicity: The All Convolutional Net
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2014
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Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
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1
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