ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1703.08448
  4. Cited By
Object Region Mining with Adversarial Erasing: A Simple Classification
  to Semantic Segmentation Approach
v1v2v3 (latest)

Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach

24 March 2017
Yunchao Wei
Jiashi Feng
Xiaodan Liang
Ming-Ming Cheng
Yao-Min Zhao
Shuicheng Yan
ArXiv (abs)PDFHTML

Papers citing "Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach"

22 / 22 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
216
5
0
28 Jan 2025
Prompt Categories Cluster for Weakly Supervised Semantic Segmentation
Prompt Categories Cluster for Weakly Supervised Semantic Segmentation
Wangyu Wu
Xianglin Qiu
Siqi Song
Xiaowei Huang
Fei Ma
Jimin Xiao
VLM
171
6
0
18 Dec 2024
High Quality Segmentation for Ultra High-resolution Images
High Quality Segmentation for Ultra High-resolution Images
Tiancheng Shen
Yuechen Zhang
Lu Qi
Jason Kuen
Xingyu Xie
Jianlong Wu
Zhe Lin
Jiaya Jia
157
42
0
29 Nov 2021
Built-in Foreground/Background Prior for Weakly-Supervised Semantic
  Segmentation
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation
F. Saleh
Mohammad Sadegh Ali Akbarian
Mathieu Salzmann
L. Petersson
Stephen Gould
J. Álvarez
81
139
0
02 Sep 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
747
37,890
0
20 May 2016
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic
  Segmentation
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
Di Lin
Jifeng Dai
Jiaya Jia
Kaiming He
Jian Sun
SSeg
121
1,010
0
18 Apr 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
56
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
Constrained Convolutional Neural Networks for Weakly Supervised
  Segmentation
Constrained Convolutional Neural Networks for Weakly Supervised Segmentation
Deepak Pathak
Philipp Krahenbuhl
Trevor Darrell
SSeg
99
614
0
11 Jun 2015
What's the Point: Semantic Segmentation with Point Supervision
What's the Point: Semantic Segmentation with Point Supervision
Amy Bearman
Olga Russakovsky
V. Ferrari
Li Fei-Fei
3DPC
104
986
0
06 Jun 2015
Matching-CNN Meets KNN: Quasi-Parametric Human Parsing
Matching-CNN Meets KNN: Quasi-Parametric Human Parsing
Si Liu
Xiaodan Liang
Luoqi Liu
Xiaohui Shen
Jianchao Yang
Changsheng Xu
Liang Lin
Xiaochun Cao
Shuicheng Yan
3DH
99
168
0
06 Apr 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
194
1,046
0
05 Mar 2015
Conditional Random Fields as Recurrent Neural Networks
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
SSeg
245
2,536
0
11 Feb 2015
Fully Convolutional Multi-Class Multiple Instance Learning
Fully Convolutional Multi-Class Multiple Instance Learning
Deepak Pathak
Evan Shelhamer
Jonathan Long
Trevor Darrell
SSL
95
316
0
22 Dec 2014
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
206
4,898
0
22 Dec 2014
Salient Object Detection: A Discriminative Regional Feature Integration
  Approach
Salient Object Detection: A Discriminative Regional Feature Integration Approach
Huaizu Jiang
Zejian Yuan
Ming-Ming Cheng
Yihong Gong
Nanning Zheng
Jingdong Wang
FAtt
103
1,270
0
22 Oct 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
CNN: Single-label to Multi-label
CNN: Single-label to Multi-label
Yunchao Wei
Wei Xia
Junshi Huang
Bingbing Ni
Jian Dong
Yao-Min Zhao
Shuicheng Yan
97
676
0
22 Jun 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
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
1