ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification

Author:

Liu Fengbei1,Tian Yu1,Chen Yuanhong1,Liu Yuyuan1,Belagiannis Vasileios2,Carneiro Gustavo1

Affiliation:

1. Australian Institute for Machine Learning, University of Adelaide

2. Universität Ulm,Germany

Publisher

IEEE

Reference42 articles.

1. ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

2. A Baseline for Multi-Label Image Classification Using an Ensemble of Deep Convolutional Neural Networks

3. Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results;tarvainen;Advances in neural information processing systems,2017

4. Fixmatch: Simplifying semi-supervised learning with consistency and confidence;sohn;Advances in neural information processing systems,2020

5. Transductive semi-supervised deep learning using min-max features;shi;Proceedings of the European Conference on Computer Vision (ECCV),0

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