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Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image
  Segmentation

Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation

9 February 2015
George Papandreou
Liang-Chieh Chen
Kevin Patrick Murphy
Alan Yuille
    SSeg
ArXivPDFHTML

Papers citing "Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation"

24 / 174 papers shown
Title
Adaptive Binarization for Weakly Supervised Affordance Segmentation
Adaptive Binarization for Weakly Supervised Affordance Segmentation
Johann Sawatzky
Juergen Gall
22
28
0
10 Jul 2017
No More Discrimination: Cross City Adaptation of Road Scene Segmenters
No More Discrimination: Cross City Adaptation of Road Scene Segmenters
Yi-Hsin Chen
Wei-Yu Chen
Yu-Ting Chen
Bo-Cheng Tsai
Y. Wang
Min Sun
SSeg
28
341
0
27 Apr 2017
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of
  the Art
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art
J. Janai
Fatma Guney
Aseem Behl
Andreas Geiger
10
787
0
18 Apr 2017
Constrained Deep Weak Supervision for Histopathology Image Segmentation
Constrained Deep Weak Supervision for Histopathology Image Segmentation
Zhipeng Jia
Xingyi Huang
E. Chang
Yan Xu
40
217
0
03 Jan 2017
FCNs in the Wild: Pixel-level Adversarial and Constraint-based
  Adaptation
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
Judy Hoffman
Dequan Wang
Feng Yu
Trevor Darrell
OOD
19
786
0
08 Dec 2016
DeepSetNet: Predicting Sets with Deep Neural Networks
DeepSetNet: Predicting Sets with Deep Neural Networks
S. Hamid Rezatofighi
B. V. Kumar
Anton Milan
Ehsan Abbasnejad
A. Dick
Ian Reid
BDL
34
51
0
28 Nov 2016
Full-Resolution Residual Networks for Semantic Segmentation in Street
  Scenes
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
Tobias Pohlen
Alexander Hermans
Markus Mathias
Bastian Leibe
SSeg
35
562
0
24 Nov 2016
Can Ground Truth Label Propagation from Video help Semantic
  Segmentation?
Can Ground Truth Label Propagation from Video help Semantic Segmentation?
Siva Karthik Mustikovela
M. Yang
Carsten Rother
35
33
0
03 Oct 2016
CrowdNet: A Deep Convolutional Network for Dense Crowd Counting
CrowdNet: A Deep Convolutional Network for Dense Crowd Counting
Lokesh Boominathan
S. Kruthiventi
R. Venkatesh Babu
11
550
0
22 Aug 2016
Multi-stage Object Detection with Group Recursive Learning
Multi-stage Object Detection with Group Recursive Learning
Jianan Li
Xiaodan Liang
Jianshu Li
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
18
50
0
18 Aug 2016
Play and Learn: Using Video Games to Train Computer Vision Models
Play and Learn: Using Video Games to Train Computer Vision Models
Alireza Shafaei
James J. Little
Mark Schmidt
36
109
0
05 Aug 2016
Weakly Supervised Learning of Affordances
Weakly Supervised Learning of Affordances
A. Srikantha
Juergen Gall
25
20
0
10 May 2016
Makeup like a superstar: Deep Localized Makeup Transfer Network
Makeup like a superstar: Deep Localized Makeup Transfer Network
Si Liu
Xinyu Ou
Ruihe Qian
Wei Wang
Xiaochun Cao
OOD
31
89
0
25 Apr 2016
Pixel-level Encoding and Depth Layering for Instance-level Semantic
  Labeling
Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling
J. Uhrig
Marius Cordts
Uwe Franke
Thomas Brox
SSeg
27
174
0
18 Apr 2016
Training Constrained Deconvolutional Networks for Road Scene Semantic
  Segmentation
Training Constrained Deconvolutional Networks for Road Scene Semantic Segmentation
G. Ros
Simon Stent
P. Alcantarilla
Tomoki Watanabe
21
55
0
06 Apr 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
27
187
0
28 Mar 2016
Weakly-Supervised Semantic Segmentation using Motion Cues
Weakly-Supervised Semantic Segmentation using Motion Cues
P. Tokmakov
Alahari Karteek
Cordelia Schmid
27
56
0
23 Mar 2016
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image
  Segmentation
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
Alexander Kolesnikov
Christoph H. Lampert
SSeg
24
742
0
19 Mar 2016
Higher Order Conditional Random Fields in Deep Neural Networks
Higher Order Conditional Random Fields in Deep Neural Networks
Anurag Arnab
Sadeep Jayasumana
Shuai Zheng
Philip Torr
SSeg
14
230
0
25 Nov 2015
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs
  and a Discriminatively Trained Domain Transform
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
Liang-Chieh Chen
Jonathan T. Barron
George Papandreou
Kevin Patrick Murphy
Alan Yuille
26
366
0
10 Nov 2015
Joint Calibration for Semantic Segmentation
Joint Calibration for Semantic Segmentation
Holger Caesar
J. Uijlings
V. Ferrari
41
37
0
06 Jul 2015
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
Seunghoon Hong
Hyeonwoo Noh
Bohyung Han
SSeg
35
337
0
16 Jun 2015
Deeply Learning the Messages in Message Passing Inference
Deeply Learning the Messages in Message Passing Inference
Guosheng Lin
Chunhua Shen
Ian Reid
Anton Van Den Hengel
3DV
47
63
0
06 Jun 2015
Monocular Object Instance Segmentation and Depth Ordering with CNNs
Monocular Object Instance Segmentation and Depth Ordering with CNNs
Ziyu Zhang
Alex Schwing
Sanja Fidler
R. Urtasun
31
158
0
12 May 2015
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