On the pitfalls of entropy-based uncertainty for multi-class
semi-supervised segmentation

On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation

7 March 2022

Martin Van Waerebeke

Gregory A. Lodygensky

Jose Dolz

Papers citing "On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation"

5 / 5 papers shown

Title
Anatomically-aware Uncertainty for Semi-supervised Image Segmentation V. SukeshAdiga Jose Dolz H. Lombaert UQCV 21 24 0 24 Oct 2023
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation Rushi Jiao Yichi Zhang Leiting Ding Rong Cai Jicong Zhang 29 152 0 28 Jul 2022
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training Yingda Xia Fengze Liu D. Yang Jinzheng Cai Lequan Yu Zhuotun Zhu Daguang Xu Alan Yuille H. Roth 180 124 0 29 Nov 2018
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015