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Compensation Learning in Semantic Segmentation

Compensation Learning in Semantic Segmentation

26 April 2023
Timo Kaiser
Christoph Reinders
Bodo Rosenhahn
    NoLa
ArXivPDFHTML

Papers citing "Compensation Learning in Semantic Segmentation"

7 / 7 papers shown
Title
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model
T. Kaiser
Thomas Norrenbrock
Bodo Rosenhahn
42
0
0
08 May 2025
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
S. Landgraf
Markus Hillemann
Kira Wursthorn
Markus Ulrich
SSeg
UQCV
19
6
0
19 Jul 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,412
0
11 Nov 2021
Learning to Rectify for Robust Learning with Noisy Labels
Learning to Rectify for Robust Learning with Noisy Labels
Haoliang Sun
Chenhui Guo
Qi Wei
Zhongyi Han
Yilong Yin
NoLa
101
34
0
08 Nov 2021
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
303
494
0
05 Mar 2020
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image
  Classification
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification
Matias Valdenegro-Toro
UQCV
56
51
0
17 Oct 2019
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
190
3,516
0
20 Aug 2019
1