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PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive
  Representation Learning

PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning

27 February 2024
Xiaoyu Liu
Beitong Zhou
Cheng Cheng
ArXivPDFHTML

Papers citing "PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning"

4 / 4 papers shown
Title
QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis
QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis
Junlin Hou
Jilan Xu
Rui Feng
Hao Chen
18
0
0
08 Apr 2024
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
488
0
05 Mar 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
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