Learning from Future: A Novel Self-Training Framework for Semantic
Segmentation

Learning from Future: A Novel Self-Training Framework for Semantic Segmentation

15 September 2022

Zehua Fu

Qingjie Liu

Papers citing "Learning from Future: A Novel Self-Training Framework for Semantic Segmentation"

9 / 9 papers shown

Title
Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention Shanwen Wang Changrui Chen Xin Sun Danfeng Hong Jungong Han 24 0 0 18 Jan 2025
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation Bo Sun Yuqi Yang Le Zhang Ming-Ming Cheng Qibin Hou 17 24 0 07 Jun 2023
Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation Xinyue Huo Lingxi Xie Wen-gang Zhou Houqiang Li Qi Tian 14 8 0 16 Mar 2023
Self-Training: A Survey Massih-Reza Amini Vasilii Feofanov Loïc Pauletto Lies Hadjadj Emilie Devijver Yury Maximov SSL 8 100 0 24 Feb 2022
Context-Aware Mixup for Domain Adaptive Semantic Segmentation Qianyu Zhou Zhengyang Feng Qiqi Gu Jiangmiao Pang Guangliang Cheng Xuequan Lu Jianping Shi Lizhuang Ma 54 129 0 08 Aug 2021
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation Qin Wang Dengxin Dai Lukas Hoyer Luc Van Gool Olga Fink OOD MDE 45 137 0 28 Apr 2021
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank Inigo Alonso Alberto Sabater David Ferstl Luis Montesano Ana C. Murillo SSL CLL 116 202 0 27 Apr 2021
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning Weizhe Liu David Ferstl S. Schulter L. Zebedin Pascal Fua C. Leistner 89 33 0 22 Apr 2021
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 174 494 0 08 Mar 2020