Refign: Align and Refine for Adaptation of Semantic Segmentation to
Adverse Conditions

Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions

14 July 2022

David Brüggemann

Christos Sakaridis

Luc Van Gool

Papers citing "Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions"

9 / 9 papers shown

Title
ControlUDA: Controllable Diffusion-assisted Unsupervised Domain Adaptation for Cross-Weather Semantic Segmentation Fengyi Shen Li Zhou Kagan Kucukaytekin Ziyuan Liu He Wang Alois C. Knoll DiffM 19 2 0 09 Feb 2024
Condition-Invariant Semantic Segmentation Christos Sakaridis David Brüggemann F. I. F. Richard Yu Luc Van Gool 43 4 0 27 May 2023
VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions Mingjiang Li Binhui Xie Shuang Li Chi Harold Liu Xinjing Cheng 8 12 0 22 Nov 2022
PDC-Net+: Enhanced Probabilistic Dense Correspondence Network Prune Truong Martin Danelljan Radu Timofte Luc Van Gool 18 82 0 28 Sep 2021
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation Xinyi Wu Zhenyao Wu Haojie Guo L. Ju Song Wang 85 143 0 22 Apr 2021
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation Zhonghao Wang Mo Yu Yunchao Wei Rogerio Feris Jinjun Xiong Wen-mei W. Hwu Thomas S. Huang Humphrey Shi OOD 179 232 0 18 Mar 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 174 494 0 08 Mar 2020
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 207 783 0 26 Aug 2019
Fully Convolutional Adaptation Networks for Semantic Segmentation Yiheng Zhang Zhaofan Qiu Ting Yao Dong Liu Tao Mei SSeg OOD 152 347 0 23 Apr 2018