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2210.05126
Cited By

Tackling Instance-Dependent Label Noise with Dynamic Distribution
Calibration

Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration

ACM Multimedia (ACM MM), 2022

11 October 2022

ArXiv (abs)PDF HTML

Papers citing "Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration"

3 / 3 papers shown

Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion SegmentationComputer Vision and Pattern Recognition (CVPR), 2025

200

0

0

14 Mar 2025

When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration
Method

When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration MethodIEEE International Conference on Computer Vision (ICCV), 2022

340

33

0

20 Nov 2022

Combating noisy labels by agreement: A joint training method with
co-regularization

Combating noisy labels by agreement: A joint training method with co-regularizationComputer Vision and Pattern Recognition (CVPR), 2020

944

632

0

05 Mar 2020