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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

14 December 2021
Yi Li
Yiqun Duan
Zhanghui Kuang
Yimin Chen
Wayne Zhang
Xiaomeng Li
ArXivPDFHTML

Papers citing "Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation"

31 / 31 papers shown
Title
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
101
0
0
04 May 2025
Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly
  Supervised Semantic Segmentation
Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly Supervised Semantic Segmentation
Ye Du
Zehua Fu
Qingjie Liu
28
1
0
04 Aug 2024
MaskFuser: Masked Fusion of Joint Multi-Modal Tokenization for
  End-to-End Autonomous Driving
MaskFuser: Masked Fusion of Joint Multi-Modal Tokenization for End-to-End Autonomous Driving
Yiqun Duan
Xianda Guo
Zheng Zhu
Zhen Wang
Yu-Kai Wang
Chin-Teng Lin
34
2
0
13 May 2024
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
Zhiwei Yang
Yucong Meng
Kexue Fu
Shuo Wang
Zhijian Song
34
4
0
12 Apr 2024
Rethinking Saliency-Guided Weakly-Supervised Semantic Segmentation
Rethinking Saliency-Guided Weakly-Supervised Semantic Segmentation
Beomyoung Kim
Donghyeon Kim
Sung Ju Hwang
31
0
0
01 Apr 2024
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and
  Intra-Class Regions for Weakly-Supervised Semantic Segmentation
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation
Sang-Kee Jo
Fei Pan
In-Jae Yu
Kyungsu Kim
30
2
0
30 Mar 2024
DuPL: Dual Student with Trustworthy Progressive Learning for Robust
  Weakly Supervised Semantic Segmentation
DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation
Yuanchen Wu
Xichen Ye
Kequan Yang
Jide Li
Xiaoqiang Li
47
9
0
17 Mar 2024
Weakly Supervised Co-training with Swapping Assignments for Semantic
  Segmentation
Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation
Xinyu Yang
Hossein Rahmani
Sue Black
Bryan M. Williams
35
2
0
27 Feb 2024
CoBra: Complementary Branch Fusing Class and Semantic Knowledge for
  Robust Weakly Supervised Semantic Segmentation
CoBra: Complementary Branch Fusing Class and Semantic Knowledge for Robust Weakly Supervised Semantic Segmentation
Woojung Han
Seil Kang
Kyobin Choo
Seong Jae Hwang
19
0
0
05 Feb 2024
Question-Answer Cross Language Image Matching for Weakly Supervised
  Semantic Segmentation
Question-Answer Cross Language Image Matching for Weakly Supervised Semantic Segmentation
Songhe Deng
Wei Zhuo
Jinheng Xie
Linlin Shen
VLM
13
6
0
18 Jan 2024
Weakly-Supervised Semantic Segmentation with Image-Level Labels: from
  Traditional Models to Foundation Models
Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation Models
Zhaozheng Chen
Qianru Sun
VLM
27
7
0
19 Oct 2023
Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised
  Semantic Segmentation
Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic Segmentation
Ryota Yoshihashi
Yuya Otsuka
Kenji Doi
Tomohiro Tanaka
Hirokatsu Kataoka
29
1
0
04 Sep 2023
All-pairs Consistency Learning for Weakly Supervised Semantic
  Segmentation
All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation
Weixuan Sun
Yanhao Zhang
Zhen Qin
Zheyuan Liu
Lin Cheng
Fanyi Wang
Yiran Zhong
Nick Barnes
ViT
41
4
0
08 Aug 2023
P-NOC: adversarial training of CAM generating networks for robust weakly
  supervised semantic segmentation priors
P-NOC: adversarial training of CAM generating networks for robust weakly supervised semantic segmentation priors
L. David
Hélio Pedrini
Z. Dias
GAN
33
1
0
21 May 2023
An Alternative to WSSS? An Empirical Study of the Segment Anything Model
  (SAM) on Weakly-Supervised Semantic Segmentation Problems
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems
Weixuan Sun
Zheyuan Liu
Yanhao Zhang
Yiran Zhong
Nick Barnes
VLM
80
20
0
02 May 2023
MARS: Model-agnostic Biased Object Removal without Additional
  Supervision for Weakly-Supervised Semantic Segmentation
MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation
Sang-Kee Jo
In-Jae Yu
Kyungsu Kim
21
16
0
19 Apr 2023
WeakTr: Exploring Plain Vision Transformer for Weakly-supervised
  Semantic Segmentation
WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation
Liang Zhu
Yingyue Li
Jiemin Fang
Yan Liu
Hao Xin
Wenyu Liu
Xinggang Wang
ViT
25
28
0
03 Apr 2023
MECPformer: Multi-estimations Complementary Patch with CNN-Transformers
  for Weakly Supervised Semantic Segmentation
MECPformer: Multi-estimations Complementary Patch with CNN-Transformers for Weakly Supervised Semantic Segmentation
Chunmeng Liu
Guang-pu Li
Yao Shen
Ruiqi Wang
ViT
27
7
0
19 Mar 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
18
118
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
26
36
0
22 Nov 2022
Dual Progressive Transformations for Weakly Supervised Semantic
  Segmentation
Dual Progressive Transformations for Weakly Supervised Semantic Segmentation
Dong Huo
Yukun Su
Qingyao Wu
ViT
26
4
0
30 Sep 2022
FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation
Yi Li
Huifeng Yao
Hualiang Wang
X. Li
ISeg
VLM
35
2
0
27 Sep 2022
A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap
  between Weak Supervision and Dense Prediction
A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction
Wei Shen
Zelin Peng
Xuehui Wang
Huayu Wang
Jiazhong Cen
Dongsheng Jiang
Lingxi Xie
Xiaokang Yang
Qi Tian
VLM
19
77
0
04 Jul 2022
Online Easy Example Mining for Weakly-supervised Gland Segmentation from
  Histology Images
Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images
Yi Li
Yi-Zhou Yu
Yi-Xuan Zou
Tianqi Xiang
Xiaomeng Li
MedIm
27
19
0
14 Jun 2022
RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for
  Weakly Supervised Semantic Segmentation across Single- and Multi-Stage
  Frameworks
RecurSeed and EdgePredictMix: Pseudo-Label Refinement Learning for Weakly Supervised Semantic Segmentation across Single- and Multi-Stage Frameworks
Sang-Kee Jo
In-Jae Yu
Kyungsu Kim
40
4
0
14 Apr 2022
GETAM: Gradient-weighted Element-wise Transformer Attention Map for
  Weakly-supervised Semantic segmentation
GETAM: Gradient-weighted Element-wise Transformer Attention Map for Weakly-supervised Semantic segmentation
Weixuan Sun
Jing Zhang
Zheyuan Liu
Yiran Zhong
Nick Barnes
ViT
60
14
0
06 Dec 2021
Exploring Segment-level Semantics for Online Phase Recognition from
  Surgical Videos
Exploring Segment-level Semantics for Online Phase Recognition from Surgical Videos
Xinpeng Ding
Xiaomeng Li
11
33
0
22 Nov 2021
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
232
740
0
28 Mar 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
273
5,660
0
05 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
A. Hengel
SSeg
255
1,491
0
30 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
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