Dirichlet-based Uncertainty Calibration for Active Domain Adaptation

27 February 2023

Shuang Li

Chi Harold Liu

Papers citing "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"

22 / 22 papers shown

Title
Adaptation Method for Misinformation Identification Yangping Chen Weijie Shi Mengze Li Yue Cui H. Chen Jia Zhu Jiajie Xu 30 0 0 19 Apr 2025
Label Calibration in Source Free Domain Adaptation Shivangi Rai Rini Smita Thakur Kunal Jangid Vinod K. Kurmi UQCV 43 1 0 13 Jan 2025
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation Ye-Wen Wang Chen-Chen Zong Ming-Kun Xie Sheng-Jun Huang 23 0 0 26 Sep 2024
Evidential Graph Contrastive Alignment for Source-Free Blending-Target Domain Adaptation Juepeng Zheng Yibin Wen Jinxiao Zhang Runmin Dong H. Fu 63 0 0 14 Aug 2024
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty Changbin Li Kangshuo Li Yuzhe Ou Lance M. Kaplan A. Jøsang Jin-Hee Cho Dong Hyun. Jeong Feng Chen UQCV BDL EDL 30 5 0 17 Apr 2024
Semantic-Based Active Perception for Humanoid Visual Tasks with Foveal Sensors Joao Luzio Alexandre Bernardino Plinio Moreno 27 0 0 16 Apr 2024
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation Yuanpeng He Lijian Li UQCV EDL 42 1 0 09 Apr 2024
Training-free image style alignment for self-adapting domain shift on handheld ultrasound devices Hongye Zeng K. Zou Zhihao Chen Yuchong Gao Hongbo Chen ... Rick Siow Mong Goh Yong-Jin Liu Chang Jiang Ru Zheng Huazhu Fu OOD 39 0 0 17 Feb 2024
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels Chen-Chen Zong Ye-Wen Wang Ming-Kun Xie Sheng-Jun Huang 11 5 0 13 Jan 2024
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts Jiayi Chen Benteng Ma Hengfei Cui Yong-quan Xia OOD FedML 29 12 0 05 Dec 2023
Evidential Uncertainty Quantification: A Variance-Based Perspective Ruxiao Duan B. Caffo Harrison X. Bai Haris I. Sair Craig K. Jones UD EDL UQCV BDL PER 34 13 0 19 Nov 2023
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation Binhui Xie Shuang Li Qingju Guo Chi Harold Liu Xinjing Cheng VLM 29 8 0 31 Oct 2023
A comprehensive survey on deep active learning in medical image analysis Haoran Wang Q. Jin Shiman Li Siyu Liu Manning Wang Zhijian Song VLM 46 22 0 22 Oct 2023
Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation Yulong Zhang Shu Han Chen Weisen Jiang Yu Zhang Jiangang Lu James T. Kwok DiffM 49 5 0 23 Sep 2023
Source-free Active Domain Adaptation for Diabetic Retinopathy Grading Based on Ultra-wide-field Fundus Image Jinye Ran Guanghua Zhang Ximei Zhang Juan Xie F. Xia Hao Zhang MedIm 8 0 0 19 Sep 2023
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration Error Zixin Wang Yadan Luo Zhi Chen Sen Wang Zi Huang 16 11 0 06 Aug 2023
Uncertainty Aware Semi-Supervised Learning on Graph Data Xujiang Zhao Feng Chen Shu Hu Jin-Hee Cho UQCV EDL BDL 110 130 0 24 Oct 2020
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings Viraj Prabhu Arjun Chandrasekaran Kate Saenko Judy Hoffman OOD 100 124 0 16 Oct 2020
Domain Adaptive Ensemble Learning Kaiyang Zhou Yongxin Yang Yu Qiao Tao Xiang OOD 137 273 0 16 Mar 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 185 497 0 08 Mar 2020
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 230 789 0 26 Aug 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016