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Handling Noisy Labels via One-Step Abductive Multi-Target Learning and
  Its Application to Helicobacter Pylori Segmentation
v1v2v3v4v5 (latest)

Handling Noisy Labels via One-Step Abductive Multi-Target Learning and Its Application to Helicobacter Pylori Segmentation

25 November 2020
Yongquan Yang
Yiming Yang
Jie Chen
Jiayi Zheng
Zhongxi Zheng
ArXiv (abs)PDFHTML

Papers citing "Handling Noisy Labels via One-Step Abductive Multi-Target Learning and Its Application to Helicobacter Pylori Segmentation"

3 / 3 papers shown
Validation of the Practicability of Logical Assessment Formula for
  Evaluations with Inaccurate Ground-Truth Labels
Validation of the Practicability of Logical Assessment Formula for Evaluations with Inaccurate Ground-Truth Labels
Yongquan Yang
Hong Bu
271
0
0
06 Jul 2023
A Survey on Ensemble Learning under the Era of Deep Learning
A Survey on Ensemble Learning under the Era of Deep LearningArtificial Intelligence Review (AIR), 2021
Yongquan Yang
Haijun Lv
Ning Chen
OOD
834
321
0
21 Jan 2021
Moderately Supervised Learning: Definition, Framework and Generality
Moderately Supervised Learning: Definition, Framework and GeneralityArtificial Intelligence Review (AI Review), 2020
Yongquan Yang
OffRL
460
9
0
27 Aug 2020
1
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