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Tackling Ambiguity from Perspective of Uncertainty Inference and
  Affinity Diversification for Weakly Supervised Semantic Segmentation

Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation

12 April 2024
Zhiwei Yang
Yucong Meng
Kexue Fu
Shuo Wang
Zhijian Song
ArXivPDFHTML

Papers citing "Tackling Ambiguity from Perspective of Uncertainty Inference and Affinity Diversification for Weakly Supervised Semantic Segmentation"

50 / 58 papers shown
Title
Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction
Yucong Meng
Zhiwei Yang
Minghong Duan
Yonghong Shi
Zhijian Song
97
1
0
18 Nov 2024
Separate and Conquer: Decoupling Co-occurrence via Decomposition and
  Representation for Weakly Supervised Semantic Segmentation
Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation
Zhiwei Yang
Kexue Fu
Minghong Duan
Linhao Qu
Shuo Wang
Zhijian Song
64
15
0
28 Feb 2024
Token Contrast for Weakly-Supervised Semantic Segmentation
Token Contrast for Weakly-Supervised Semantic Segmentation
Lixiang Ru
Heliang Zheng
Yibing Zhan
Bo Du
ViT
88
90
0
02 Mar 2023
Self Correspondence Distillation for End-to-End Weakly-Supervised
  Semantic Segmentation
Self Correspondence Distillation for End-to-End Weakly-Supervised Semantic Segmentation
Rongtao Xu
Changwei Wang
Jiaxi Sun
Shibiao Xu
Weiliang Meng
Xiaopeng Zhang
63
44
0
27 Feb 2023
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly
  Supervised Semantic Segmentation
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation
Yuqi Lin
Minghao Chen
Wenxiao Wang
Boxi Wu
Ke Li
Binbin Lin
Haifeng Liu
Xiaofei He
VLM
CLIP
72
126
0
16 Dec 2022
Out-of-Candidate Rectification for Weakly Supervised Semantic
  Segmentation
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation
Ze-Long Cheng
Pengchong Qiao
Kehan Li
Siheng Li
Pengxu Wei
Xiang Ji
Li-ming Yuan
Chang Liu
Jie Chen
61
38
0
22 Nov 2022
Max Pooling with Vision Transformers reconciles class and shape in
  weakly supervised semantic segmentation
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation
Simone Rossetti
Damiano Zappia
Marta Sanzari
M. Schaerf
F. Pirri
ViT
77
57
0
31 Oct 2022
Expansion and Shrinkage of Localization for Weakly-Supervised Semantic
  Segmentation
Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation
Jinlong Li
Zequn Jie
Xu Wang
Xiaolin K. Wei
Lin Ma
WSOL
113
48
0
16 Sep 2022
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly
  Supervised Semantic Segmentation
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation
Peng-Tao Jiang
Yuqi Yang
Qibin Hou
Yunchao Wei
48
122
0
07 Apr 2022
Threshold Matters in WSSS: Manipulating the Activation for the Robust
  and Accurate Segmentation Model Against Thresholds
Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds
Minhyun Lee
Dongseob Kim
Hyunjung Shim
VLM
115
66
0
30 Mar 2022
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and
  Semi-Supervised Semantic Segmentation
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation
Junwen Pan
Pengfei Zhu
Kaihua Zhang
Bing Cao
Yu Wang
Dingwen Zhang
Junwei Han
Q. Hu
84
62
0
19 Mar 2022
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data
Jungbeom Lee
Seong Joon Oh
Sangdoo Yun
Junsuk Choe
Eunji Kim
Sung-Hoon Yoon
WSOL
OOD
481
88
0
08 Mar 2022
Self-supervised Image-specific Prototype Exploration for Weakly
  Supervised Semantic Segmentation
Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation
Qi Chen
Lingxiao Yang
Jianhuang Lai
Xiaohua Xie
VLM
120
138
0
06 Mar 2022
Multi-class Token Transformer for Weakly Supervised Semantic
  Segmentation
Multi-class Token Transformer for Weakly Supervised Semantic Segmentation
Lian Xu
Wanli Ouyang
Bennamoun
F. Boussaïd
Dan Xu
ViT
70
212
0
06 Mar 2022
Cross Language Image Matching for Weakly Supervised Semantic
  Segmentation
Cross Language Image Matching for Weakly Supervised Semantic Segmentation
Jinheng Xie
Xianxu Hou
Kai Ye
Linlin Shen
CLIP
VLM
115
109
0
05 Mar 2022
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic
  Segmentation with Transformers
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers
Lixiang Ru
Yibing Zhan
Baosheng Yu
Bo Du
ViT
92
185
0
05 Mar 2022
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation
Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation
Zhaozheng Chen
Tan Wang
Xiongwei Wu
Xiansheng Hua
Hanwang Zhang
Qianru Sun
WSOL
VLM
109
145
0
02 Mar 2022
Revisiting Over-smoothing in BERT from the Perspective of Graph
Revisiting Over-smoothing in BERT from the Perspective of Graph
Han Shi
Jiahui Gao
Hang Xu
Xiaodan Liang
Zhenguo Li
Lingpeng Kong
Stephen M. S. Lee
James T. Kwok
61
74
0
17 Feb 2022
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise
  Mitigation in Weakly-supervised Semantic Segmentation
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation
Yi Li
Yiqun Duan
Zhanghui Kuang
Yimin Chen
Wayne Zhang
Xiaomeng Li
57
72
0
14 Dec 2021
Reducing Information Bottleneck for Weakly Supervised Semantic
  Segmentation
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
Jungbeom Lee
Jooyoung Choi
J. Mok
Sungroh Yoon
SSeg
240
136
0
13 Oct 2021
Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty
Weakly-Supervised Semantic Segmentation by Learning Label Uncertainty
R. Neven
D. Neven
Bert De Brabandere
Marc Proesmans
Toon Goedemé
UQCV
58
4
0
12 Oct 2021
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly
  Supervised Semantic Segmentation
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation
Xiangrong Zhang
Zelin Peng
Peng Zhu
Tianyang Zhang
Chen Li
Huiyu Zhou
L. Jiao
CLL
61
46
0
03 Aug 2021
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised
  Semantic Segmentation
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation
Lian Xu
Wanli Ouyang
Bennamoun
F. Boussaïd
Ferdous Sohel
Dan Xu
65
129
0
25 Jul 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with
  Transformers
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
248
4,990
0
31 May 2021
Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly
  Supervised Semantic Segmentation
Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation
Seungho Lee
Minhyun Lee
Jongwuk Lee
Hyunjung Shim
66
218
0
19 May 2021
Vision Transformers with Patch Diversification
Vision Transformers with Patch Diversification
Chengyue Gong
Dilin Wang
Meng Li
Vikas Chandra
Qiang Liu
ViT
57
64
0
26 Apr 2021
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and
  Instance Segmentation
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation
Jungbeom Lee
Jihun Yi
Chaehun Shin
Sungroh Yoon
ISeg
47
173
0
16 Mar 2021
Anti-Adversarially Manipulated Attributions for Weakly and
  Semi-Supervised Semantic Segmentation
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation
Jungbeom Lee
Eunji Kim
Sungroh Yoon
70
228
0
16 Mar 2021
Context Decoupling Augmentation for Weakly Supervised Semantic
  Segmentation
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation
Yukun Su
Rui Sun
Guosheng Lin
Qingyao Wu
108
120
0
02 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
822
29,167
0
26 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
548
40,739
0
22 Oct 2020
Causal Intervention for Weakly-Supervised Semantic Segmentation
Causal Intervention for Weakly-Supervised Semantic Segmentation
Dong Zhang
Hanwang Zhang
Jinhui Tang
Xiansheng Hua
Qianru Sun
CML
ISeg
90
449
0
26 Sep 2020
Weakly-Supervised Semantic Segmentation via Sub-category Exploration
Weakly-Supervised Semantic Segmentation via Sub-category Exploration
Yu-Ting Chang
Qiaosong Wang
Wei-Chih Hung
Robinson Piramuthu
Yi-Hsuan Tsai
Ming-Hsuan Yang
140
258
0
03 Aug 2020
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation
Guolei Sun
Wenguan Wang
Jifeng Dai
Luc Van Gool
221
311
0
03 Jul 2020
Single-Stage Semantic Segmentation from Image Labels
Single-Stage Semantic Segmentation from Image Labels
Nikita Araslanov
Stefan Roth
76
252
0
16 May 2020
Self-supervised Equivariant Attention Mechanism for Weakly Supervised
  Semantic Segmentation
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
Yude Wang
Jie Zhang
Meina Kan
Shiguang Shan
Xilin Chen
83
624
0
09 Apr 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
346
10,591
0
17 Feb 2020
Weakly Supervised Learning of Instance Segmentation with Inter-pixel
  Relations
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations
Jiwoon Ahn
Sunghyun Cho
Suha Kwak
ISeg
SSeg
142
542
0
10 Apr 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning
A Simple Baseline for Bayesian Uncertainty in Deep Learning
Wesley J. Maddox
T. Garipov
Pavel Izmailov
Dmitry Vetrov
A. Wilson
BDL
UQCV
82
806
0
07 Feb 2019
Constrained-CNN losses for weakly supervised segmentation
Constrained-CNN losses for weakly supervised segmentation
H. Kervadec
Jose Dolz
Meng Tang
Eric Granger
Yuri Boykov
Ismail Ben Ayed
62
239
0
12 May 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
279
743
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
55
295
0
26 Mar 2018
Decoupled Spatial Neural Attention for Weakly Supervised Semantic
  Segmentation
Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation
Tianyi Zhang
Guosheng Lin
Jianfei Cai
T. Shen
Chunhua Shen
Alex C. Kot
59
77
0
07 Mar 2018
Learning random-walk label propagation for weakly-supervised semantic
  segmentation
Learning random-walk label propagation for weakly-supervised semantic segmentation
Paul Vernaza
Manmohan Chandraker
81
253
0
01 Feb 2018
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
217
8,455
0
17 Jun 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
75
808
0
24 Mar 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
342
4,700
0
15 Mar 2017
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
592
1,511
0
30 Nov 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
649
37,806
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
1,006
0
18 Apr 2016
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