Towards Source-free Domain Adaptive Semantic Segmentation via
Importance-aware and Prototype-contrast Learning

Towards Source-free Domain Adaptive Semantic Segmentation via Importance-aware and Prototype-contrast Learning

2 June 2023

Hui Zhang

Kailun Yang

Papers citing "Towards Source-free Domain Adaptive Semantic Segmentation via Importance-aware and Prototype-contrast Learning"

8 / 8 papers shown

Title
Generalizable Prompt Learning of CLIP: A Brief Overview Fangming Cui Yonggang Zhang Xuan Wang Xule Wang Liang Xiao VPVLM VLM 123 0 0 03 Mar 2025
Advancing Prompt Learning through an External Layer Fangming Cui Xun Yang Chao Wu Liang Xiao Xinmei Tian VLM 34 1 0 29 Jul 2024
Unsupervised Adaptation of Semantic Segmentation Models without Source Data S. Paul Ansh Khurana Gaurav Aggarwal OOD 118 7 0 04 Dec 2021
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data Jiaxing Huang Dayan Guan Aoran Xiao Shijian Lu 140 212 0 07 Oct 2021
Context-Aware Mixup for Domain Adaptive Semantic Segmentation Qianyu Zhou Zhengyang Feng Qiqi Gu Jiangmiao Pang Guangliang Cheng Xuequan Lu Jianping Shi Lizhuang Ma 63 129 0 08 Aug 2021
Adapting Object Detectors with Conditional Domain Normalization Peng Su Kun Wang Xingyu Zeng Shixiang Tang Dapeng Chen Di Qiu Xiaogang Wang 56 84 0 16 Mar 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 174 497 0 08 Mar 2020
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 216 789 0 26 Aug 2019