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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
v1v2 (latest)

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

2 June 2016
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
    SSeg
ArXiv (abs)PDFHTML

Papers citing "DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs"

23 / 4,473 papers shown
Title
Deep Feature Flow for Video Recognition
Deep Feature Flow for Video Recognition
Xizhou Zhu
Yuwen Xiong
Jifeng Dai
Lu Yuan
Yichen Wei
133
600
0
23 Nov 2016
Gland Instance Segmentation Using Deep Multichannel Neural Networks
Gland Instance Segmentation Using Deep Multichannel Neural Networks
Yan Xu
Yang Li
Yipei Wang
Mingyuan Liu
Yubo Fan
M. Lai
E. Chang
MedIm
104
164
0
21 Nov 2016
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TSSSeg
293
2,852
0
20 Nov 2016
Examining the Impact of Blur on Recognition by Convolutional Networks
Examining the Impact of Blur on Recognition by Convolutional Networks
Igor Vasiljevic
Ayan Chakrabarti
Gregory Shakhnarovich
89
198
0
17 Nov 2016
Joint Graph Decomposition and Node Labeling: Problem, Algorithms,
  Applications
Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications
Evgeny Levinkov
J. Uhrig
Siyu Tang
Mohamed Omran
Eldar Insafutdinov
Alexander Kirillov
Carsten Rother
Thomas Brox
Bernt Schiele
Bjoern Andres
80
106
0
14 Nov 2016
Semi-Dense 3D Semantic Mapping from Monocular SLAM
Semi-Dense 3D Semantic Mapping from Monocular SLAM
Xuanpeng Li
R. Belaroussi
69
63
0
13 Nov 2016
High-Resolution Semantic Labeling with Convolutional Neural Networks
High-Resolution Semantic Labeling with Convolutional Neural Networks
Emmanuel Maggiori
Y. Tarabalka
Guillaume Charpiat
Pierre Alliez
SSeg
70
172
0
07 Nov 2016
Neural Photo Editing with Introspective Adversarial Networks
Neural Photo Editing with Introspective Adversarial Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
GAN
80
459
0
22 Sep 2016
PixelNet: Towards a General Pixel-level Architecture
PixelNet: Towards a General Pixel-level Architecture
Aayush Bansal
Xinlei Chen
Bryan C. Russell
Abhinav Gupta
Deva Ramanan
SSeg
276
59
0
21 Sep 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-,
  Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Iasonas Kokkinos
SSegSSL
153
677
0
07 Sep 2016
Multi-Path Feedback Recurrent Neural Network for Scene Parsing
Multi-Path Feedback Recurrent Neural Network for Scene Parsing
Xiaojie Jin
Yunpeng Chen
Jiashi Feng
Zequn Jie
Shuicheng Yan
81
32
0
27 Aug 2016
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
425
1,898
0
18 Aug 2016
Saliency Detection via Combining Region-Level and Pixel-Level
  Predictions with CNNs
Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs
Youbao Tang
Xiangqian Wu
87
74
0
18 Aug 2016
RGBD Salient Object Detection via Deep Fusion
RGBD Salient Object Detection via Deep Fusion
Liangqiong Qu
Shengfeng He
Jiawei Zhang
Jiandong Tian
Yandong Tang
Qingxiong Yang
76
348
0
12 Jul 2016
Multi-level Contextual RNNs with Attention Model for Scene Labeling
Multi-level Contextual RNNs with Attention Model for Scene Labeling
Heng Fan
Xue Mei
Danil Prokhorov
Haibin Ling
94
49
0
08 Jul 2016
A Two-Streamed Network for Estimating Fine-Scaled Depth Maps from Single
  RGB Images
A Two-Streamed Network for Estimating Fine-Scaled Depth Maps from Single RGB Images
Jun Yu Li
Reinhard Klein
Angela Yao
MDE
47
15
0
04 Jul 2016
Estimating Depth from Monocular Images as Classification Using Deep
  Fully Convolutional Residual Networks
Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks
Yuanzhouhan Cao
Zifeng Wu
Chunhua Shen
MDE
134
407
0
08 May 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
177
3,539
0
28 Mar 2016
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation
  with Deep Gaussian CRFs
Fast, Exact and Multi-Scale Inference for Semantic Image Segmentation with Deep Gaussian CRFs
Siddhartha Chandra
Iasonas Kokkinos
77
187
0
28 Mar 2016
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Anna Khoreva
Rodrigo Benenson
J. Hosang
Matthias Hein
Bernt Schiele
WSODVLMISeg
101
748
0
24 Mar 2016
Revisiting Batch Normalization For Practical Domain Adaptation
Revisiting Batch Normalization For Practical Domain Adaptation
Yanghao Li
Naiyan Wang
Jianping Shi
Jiaying Liu
Xiaodi Hou
OOD
121
590
0
15 Mar 2016
Rapid Exact Signal Scanning with Deep Convolutional Neural Networks
Rapid Exact Signal Scanning with Deep Convolutional Neural Networks
Markus Thom
Franz Gritschneder
97
10
0
27 Aug 2015
Salient Object Detection: A Survey
Salient Object Detection: A Survey
Ali Borji
Ming-Ming Cheng
Qibin Hou
Huaizu Jiang
Jia Li
151
763
0
18 Nov 2014
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