AAAI 2026technical0 citations
DualFete: Revisiting Teacher-Student Interactions from a Feedback Perspective for Semi-supervised Medical Image Segmentation
Le Yi, Wei Huang, Lei Zhang, Kefu Zhao, Yan Wang, Zizhou Wang
Abstract
The teacher-student paradigm has emerged as a canonical framework in semi-supervised learning. When applied to medical image segmentation, the paradigm faces challenges due to inherent image ambiguities, making it particularly vulnerable to erroneous supervision. Crucially, the student
BibTeX
@inproceedings{aaai2026_dualfeterevisiti,
title = {DualFete: Revisiting Teacher-Student Interactions from a Feedback Perspective for Semi-supervised Medical Image Segmentation},
author = {Le Yi and Wei Huang and Lei Zhang and Kefu Zhao and Yan Wang and Zizhou Wang},
booktitle = {AAAI 2026},
year = {2026}
}