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Suppressing Uncertainties in Degradation Estimation for Blind
  Super-Resolution

Suppressing Uncertainties in Degradation Estimation for Blind Super-Resolution

24 June 2024
Junxiong Lin
Zeng Tao
Xuan Tong
Xinji Mai
Haoran Wang
Boyang Wang
Yan Wang
Qing Zhao
Jiawen Yu
Yuxuan Lin
Shaoqi Yan
Shuyong Gao
Wenqiang Zhang
ArXivPDFHTML

Papers citing "Suppressing Uncertainties in Degradation Estimation for Blind Super-Resolution"

4 / 4 papers shown
Title
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with
  Diffusion Model for Blind Image Super-Resolution
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution
Junxiong Lin
Yan Wang
Zeng Tao
Boyang Wang
Qing Zhao
...
Yuxuan Lin
Wei Song
Jiawen Yu
Shaoqi Yan
Wenqiang Zhang
27
2
0
09 Mar 2024
Orthogonal Uncertainty Representation of Data Manifold for Robust
  Long-Tailed Learning
Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning
Yanbiao Ma
Licheng Jiao
Fang Liu
Shuyuan Yang
Xu Liu
Lingling Li
OOD
21
7
0
16 Oct 2023
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
420
15,438
0
02 Nov 2015
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
1