Mask-based Data Augmentation for Semi-supervised Semantic Segmentation

25 January 2021

Papers citing "Mask-based Data Augmentation for Semi-supervised Semantic Segmentation"

6 / 6 papers shown

Title
Feedback-Driven Pseudo-Label Reliability Assessment: Redefining Thresholding for Semi-Supervised Semantic Segmentation Negin Ghamsarian Sahar Nasirihaghighi Klaus Schoeffmann Raphael Sznitman 26 0 0 12 May 2025
Rethinking Data Augmentation for Single-source Domain Generalization in Medical Image Segmentation Zixian Su Kai Yao Xi Yang Qiufeng Wang Jie Sun Kaizhu Huang 27 63 0 27 Nov 2022
SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding M. Heisler Amin Banitalebi-Dehkordi Yong Zhang ObjD 14 2 0 15 Aug 2022
Semi-supervised Domain Adaptation for Semantic Segmentation Ying Chen Ouyang Xu Kaiyue Zhu G. Agam 35 6 0 20 Oct 2021
Robust Mutual Learning for Semi-supervised Semantic Segmentation Pan Zhang Bo Zhang Ting Zhang Dong Chen Fang Wen 17 17 0 01 Jun 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