Uncertainty-guided Source-free Domain Adaptation

Uncertainty-guided Source-free Domain Adaptation

16 August 2022

Arno Solin

Papers citing "Uncertainty-guided Source-free Domain Adaptation"

14 / 14 papers shown

Title
Leveraging Segment Anything Model for Source-Free Domain Adaptation via Dual Feature Guided Auto-Prompting Zheang Huai Hui Tang Yi Li Zhuangzhuang Chen Xiaomeng Li VLM 33 0 0 13 May 2025
Proxy Denoising for Source-Free Domain Adaptation Song Tang Wenxin Su Mao Ye Jianwei Zhang Xiatian Zhu Xiatian Zhu 67 1 0 03 Jun 2024
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation Jiaming Liu Ran Xu Senqiao Yang Renrui Zhang Qizhe Zhang Zehui Chen Yandong Guo Shanghang Zhang TTA 35 10 0 19 Dec 2023
Source-Free Domain Adaptation with Frozen Multimodal Foundation Model Song Tang Wenxin Su Mao Ye Xiatian Zhu VLM 30 21 0 27 Nov 2023
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training Zizheng Yan Yushuang Wu Yipeng Qin Xiaoguang Han Shuguang Cui Guanbin Li 39 1 0 07 Jul 2023
A Comprehensive Survey on Source-free Domain Adaptation Zhiqi Yu Jingjing Li Zhekai Du Lei Zhu H. Shen TTA 23 94 0 23 Feb 2023
Fixing Overconfidence in Dynamic Neural Networks Lassi Meronen Martin Trapp Andrea Pilzer Le Yang Arno Solin BDL 34 16 0 13 Feb 2023
Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptation Yuqi Chen Xiangbin Zhu Yonggang Li Yingjian Li H. Fang SSL 13 3 0 31 Jan 2023
Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation Wenyu Zhang Li Shen Chuan-Sheng Foo TTA AI4CE 34 15 0 15 Dec 2022
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer Jian Liang Dapeng Hu Yunbo Wang Ran He Jiashi Feng 148 250 0 14 Dec 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 191 497 0 08 Mar 2020
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation Jian Liang Yunbo Wang Dapeng Hu Ran He Jiashi Feng 169 105 0 05 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015