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FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using
  Stochastic Inference
v1v2 (latest)

FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference

27 February 2019
Jungbeom Lee
Eunji Kim
Sungmin Lee
Jangho Lee
Sungroh Yoon
ArXiv (abs)PDFHTML

Papers citing "FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference"

30 / 30 papers shown
Title
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos
CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos
Soufiane Belharbi
Shakeeb Murtaza
M. Pedersoli
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
WSOL
214
5
0
28 Jan 2025
Slot-BERT: Self-supervised Object Discovery in Surgical Video
Slot-BERT: Self-supervised Object Discovery in Surgical Video
Guiqiu Liao
M. Jogan
Marcel Hussing
Kenta Nakahashi
Kazuhiro Yasufuku
Amin Madani
Eric Eaton
Daniel A. Hashimoto
440
0
0
21 Jan 2025
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common
  Object Features
Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features
Xiang Wang
Shaodi You
Xi Li
Huimin Ma
69
303
0
12 Jun 2018
Robust Tumor Localization with Pyramid Grad-CAM
Robust Tumor Localization with Pyramid Grad-CAM
Sungmin Lee
Jangho Lee
Jungbeom Lee
Chul-Kee Park
Sungroh Yoon
MedIm
51
31
0
29 May 2018
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-
  Supervised Semantic Segmentation
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation
Yunchao Wei
Huaxin Xiao
Humphrey Shi
Zequn Jie
Jiashi Feng
Thomas S. Huang
SSeg
84
545
0
11 May 2018
Adversarial Complementary Learning for Weakly Supervised Object
  Localization
Adversarial Complementary Learning for Weakly Supervised Object Localization
Xiaolin Zhang
Yunchao Wei
Jiashi Feng
Yi Yang
Thomas Huang
WSOL
144
575
0
19 Apr 2018
Learning Pixel-level Semantic Affinity with Image-level Supervision for
  Weakly Supervised Semantic Segmentation
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation
Jiwoon Ahn
Suha Kwak
285
747
0
28 Mar 2018
On Regularized Losses for Weakly-supervised CNN Segmentation
On Regularized Losses for Weakly-supervised CNN Segmentation
Meng Tang
Federico Perazzi
Abdelaziz Djelouah
Ismail Ben Ayed
Christopher Schroers
Yuri Boykov
81
295
0
26 Mar 2018
Tell Me Where to Look: Guided Attention Inference Network
Tell Me Where to Look: Guided Attention Inference Network
Kunpeng Li
Ziyan Wu
Kuan-Chuan Peng
Jan Ernst
Y. Fu
116
532
0
27 Feb 2018
Multi-Evidence Filtering and Fusion for Multi-Label Classification,
  Object Detection and Semantic Segmentation Based on Weakly Supervised
  Learning
Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning
Weifeng Ge
Sibei Yang
Yizhou Yu
85
190
0
26 Feb 2018
S4Net: Single Stage Salient-Instance Segmentation
S4Net: Single Stage Salient-Instance Segmentation
Ruochen Fan
Ming-Ming Cheng
Qibin Hou
Tai-Jiang Mu
Jingdong Wang
Shimin Hu
ISegSSeg
55
85
0
21 Nov 2017
Two-Phase Learning for Weakly Supervised Object Localization
Two-Phase Learning for Weakly Supervised Object Localization
Dahun Kim
Donghyeon Cho
Donggeun Yoo
In So Kweon
WSOL
79
142
0
07 Aug 2017
Discovering Class-Specific Pixels for Weakly-Supervised Semantic
  Segmentation
Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation
Arslan Chaudhry
P. Dokania
Philip Torr
63
124
0
18 Jul 2017
Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised
  Object and Action Localization
Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization
Krishna Kumar Singh
Yong Jae Lee
90
682
0
13 Apr 2017
Object Region Mining with Adversarial Erasing: A Simple Classification
  to Semantic Segmentation Approach
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach
Yunchao Wei
Jiashi Feng
Xiaodan Liang
Ming-Ming Cheng
Yao-Min Zhao
Shuicheng Yan
87
811
0
24 Mar 2017
Weakly Supervised Semantic Segmentation using Web-Crawled Videos
Weakly Supervised Semantic Segmentation using Web-Crawled Videos
Seunghoon Hong
Donghun Yeo
Suha Kwak
Honglak Lee
Bohyung Han
109
158
0
02 Jan 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOSSSeg
665
12,033
0
04 Dec 2016
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
641
1,518
0
30 Nov 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
324
20,086
0
07 Oct 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
55
749
0
19 Mar 2016
Learning Transferrable Knowledge for Semantic Segmentation with Deep
  Convolutional Neural Network
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
Seunghoon Hong
Junhyuk Oh
Bohyung Han
Honglak Lee
SSeg
94
174
0
24 Dec 2015
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSLSSegFAtt
253
9,338
0
14 Dec 2015
STC: A Simple to Complex Framework for Weakly-supervised Semantic
  Segmentation
STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation
Yunchao Wei
Xiaodan Liang
Yunpeng Chen
Xiaohui Shen
Ming-Ming Cheng
Jiashi Feng
Yao-Min Zhao
Shuicheng Yan
106
555
0
10 Sep 2015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks
  for Semantic Segmentation
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
Jifeng Dai
Kaiming He
Jian Sun
191
1,046
0
05 Mar 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully
  Connected CRFs
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
202
4,898
0
22 Dec 2014
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,508
0
04 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLMBDL3DV
280
14,712
0
20 Jun 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
424
43,814
0
01 May 2014
Efficient Inference in Fully Connected CRFs with Gaussian Edge
  Potentials
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krahenbuhl
V. Koltun
132
3,458
0
20 Oct 2012
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