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Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic
  Segmentation

Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation

22 March 2021
Yaoru Luo
Guole Liu
Yuanhao Guo
Ge Yang
    NoLa
ArXivPDFHTML

Papers citing "Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation"

4 / 4 papers shown
Title
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows
  from Noisy Labels
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels
Han Yang
Tianyu Wang
Xiao Hu
Chi-Wing Fu
NoLa
51
13
0
23 Aug 2023
Quantifying the Impact of Label Noise on Federated Learning
Quantifying the Impact of Label Noise on Federated Learning
Shuqi Ke
Chao Huang
Xin Liu
FedML
28
7
0
15 Nov 2022
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain
  Adaptive Semantic Segmentation
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Zhedong Zheng
Yi Yang
NoLa
191
497
0
08 Mar 2020
SegSort: Segmentation by Discriminative Sorting of Segments
SegSort: Segmentation by Discriminative Sorting of Segments
Jyh-Jing Hwang
Stella X. Yu
Jianbo Shi
Maxwell D. Collins
Tien-Ju Yang
Xiao Zhang
Liang-Chieh Chen
183
148
0
15 Oct 2019
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