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Pseudo-Labeling Enhanced by Privileged Information and Its Application
  to In Situ Sequencing Images

Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images

28 June 2023
Marzieh Haghighi
M. C. Cruz
Erin Weisbart
Beth A. Cimini
Avtar Singh
J. Bauman
M. Lozada
Sanam L. Kavari
James T. Neal
P. Blainey
Anne E Carpenter
Shantanu Singh
ArXivPDFHTML

Papers citing "Pseudo-Labeling Enhanced by Privileged Information and Its Application to In Situ Sequencing Images"

2 / 2 papers shown
Title
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
206
506
0
15 Jan 2021
Solving Missing-Annotation Object Detection with Background
  Recalibration Loss
Solving Missing-Annotation Object Detection with Background Recalibration Loss
Han Zhang
Fangyi Chen
Zhiqiang Shen
Qiqi Hao
Chenchen Zhu
Marios Savvides
ObjD
123
51
0
12 Feb 2020
1