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Learning Probabilistic Coordinate Fields for Robust Correspondences

Learning Probabilistic Coordinate Fields for Robust Correspondences

7 June 2023
Weiyue Zhao
Hao Lu
Xinyi Ye
Zhiguo Cao
Xin Li
ArXivPDFHTML

Papers citing "Learning Probabilistic Coordinate Fields for Robust Correspondences"

4 / 4 papers shown
Title
OAMatcher: An Overlapping Areas-based Network for Accurate Local Feature
  Matching
OAMatcher: An Overlapping Areas-based Network for Accurate Local Feature Matching
Kun Dai
Tao Xie
K. Wang
Zhiqiang Jiang
Ruifeng Li
Lijun Zhao
19
14
0
12 Feb 2023
Learning Accurate Dense Correspondences and When to Trust Them
Learning Accurate Dense Correspondences and When to Trust Them
Prune Truong
Martin Danelljan
Luc Van Gool
Radu Timofte
3DH
3DPC
61
125
0
05 Jan 2021
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
243
1,817
0
18 Aug 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
247
9,042
0
06 Jun 2015
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