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An Empirical Study on the Efficacy of Deep Active Learning for Image
  Classification

An Empirical Study on the Efficacy of Deep Active Learning for Image Classification

30 November 2022
Yu Li
Mu-Hwa Chen
Yannan Liu
Daojing He
Qiang Xu
ArXivPDFHTML

Papers citing "An Empirical Study on the Efficacy of Deep Active Learning for Image Classification"

2 / 2 papers shown
Title
Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise
Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise
Moseli Motsóehli
Hope Mogale
Kyungim Baek
35
0
0
07 May 2025
Consistency-based Semi-supervised Active Learning: Towards Minimizing
  Labeling Cost
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost
M. Gao
Zizhao Zhang
Guo-Ding Yu
Sercan Ö. Arik
L. Davis
Tomas Pfister
149
194
0
16 Oct 2019
1