Title
Collaborative Learning with Unreliability Adaptation for Semi-Supervised Image Classification
Abstract
•Transferring the training experience among constituent networks facilitates semi-supervised image classification.•We design a collaborative learning mechanism based on unreliability adaptation among constituent networks.•We improve the complementarity of constituent networks by resisting adversarial perturbation.•The unreliability adaptation and perturbation-based regularization lead to the superior performance on multiple datasets.
Year
DOI
Venue
2023
10.1016/j.patcog.2022.109032
Pattern Recognition
Keywords
DocType
Volume
Semi-supervised learning,Image classification,Unreliability adaptation,Collaborative learning
Journal
133
ISSN
Citations 
PageRank 
0031-3203
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Xiaoyang Huo101.69
Xiangping Zeng222.06
Si Wu314816.73
Wenjun Shen400.34
Hau-San Wong5100886.89