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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"

6 / 6 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
31
1
0
18 Nov 2024
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
210
134
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
M. Proesmans
Toon Goedemé
UQCV
20
4
0
12 Oct 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
211
739
0
28 Mar 2018
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
243
1,476
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
245
9,042
0
06 Jun 2015
1