Orthogonal Annotation Benefits Barely-supervised Medical Image
Segmentation

Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation

23 March 2023

Lei Qi

Papers citing "Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation"

7 / 7 papers shown

Title
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation Qinghe Ma Jian Zhang Lei Qi Qian Yu Yinghuan Shi Yang Gao 48 7 0 13 Apr 2024
Active Teacher for Semi-Supervised Object Detection Peng Mi Jianghang Lin Yiyi Zhou Yunhang Shen Gen Luo Xiaoshuai Sun Liujuan Cao Rongrong Fu Qiang Xu Rongrong Ji 52 61 0 15 Mar 2023
NP-Match: When Neural Processes meet Semi-Supervised Learning Jianfeng Wang Thomas Lukasiewicz Daniela Massiceti Xiaolin Hu Vladimir Pavlovic A. Neophytou BDL 65 41 0 03 Jul 2022
Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations Qiuhui Chen Yi Hong 35 24 0 13 May 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 252 862 0 15 Oct 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 241 509 0 15 Jan 2021
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