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

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
ArXivPDFHTML

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

3 / 3 papers shown
Title
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
31
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 Learning
Yongquan Yang
Haijun Lv
Ning Chen
OOD
72
182
0
21 Jan 2021
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
451
15,652
0
02 Nov 2015
1