English

Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously

Machine Learning 2021-12-28 v3 Machine Learning
Authors: Qing Tian , Yanan Zhu , Chuang Ma , Meng Cao
View on arXiv ↗ PDF ↗

Abstract

Unsupervised domain adaptation (UDA) is an emerging research topic in the field of machine learning and pattern recognition, which aims to help the learning of unlabeled target domain by transferring knowledge from the source domain.

Keywords

unsupervised domain adaptation domain adaptation domain adaptive object detection

Cite

@article{arxiv.2003.08051,
  title  = {Unsupervised Domain Adaptation Through Transferring both the Source-Knowledge and Target-Relatedness Simultaneously},
  author = {Qing Tian and Yanan Zhu and Chuang Ma and Meng Cao},
  journal= {arXiv preprint arXiv:2003.08051},
  year   = {2021}
}

Related papers

View all related →
Computation and Language · Computer Science
Simplified Neural Unsupervised Domain Adaptation
Timothy A Miller
2023-04-06
Computer Vision and Pattern Recognition · Computer Science
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives
Xiaofeng Liu, Chaehwa Yoo, Fangxu Xing, Hyejin Oh +3
2022-08-17
Computer Vision and Pattern Recognition · Computer Science
A Survey of Unsupervised Domain Adaptation for Visual Recognition
Youshan Zhang
2021-12-14
Machine Learning · Computer Science
Domain Adaptation via Rebalanced Sub-domain Alignment
Yiling Liu, Juncheng Dong, Ziyang Jiang, Ahmed Aloui +4
2023-02-07
Machine Learning · Computer Science
Unsupervised Multi-source Domain Adaptation Without Access to Source Data
Sk Miraj Ahmed, Dripta S. Raychaudhuri, Sujoy Paul, Samet Oymak +1
2021-04-06
Computer Vision and Pattern Recognition · Computer Science
Inferring Latent Domains for Unsupervised Deep Domain Adaptation
Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bulò, Barbara Caputo +1
2021-03-26
Machine Learning · Computer Science
Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation
Kowshik Thopalli, Jayaraman J Thiagarajan, Rushil Anirudh, Pavan K Turaga
2022-01-07
Computer Vision and Pattern Recognition · Computer Science
Style Adaptation for Domain-adaptive Semantic Segmentation
Ting Li, Jianshu Chao, Deyu An
2024-04-26
Machine Learning · Computer Science
Multi-target Unsupervised Domain Adaptation without Exactly Shared Categories
Huanhuan Yu, Menglei Hu, Songcan Chen
2018-09-18
Machine Learning · Computer Science
Distributionally Robust Classification for Multi-source Unsupervised Domain Adaptation
Seonghwi Kim, Sung Ho Jo, Wooseok Ha, Minwoo Chae
2026-02-24
Machine Learning · Computer Science
Unsupervised Domain Adaptation via Calibrating Uncertainties
Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang +1
2019-07-26
Computation and Language · Computer Science
Multi-source Attention for Unsupervised Domain Adaptation
Xia Cui, Danushka Bollegala
2020-04-20
Machine Learning · Computer Science
Geometry-Aware Unsupervised Domain Adaptation
You-Wei Luo, Chuan-Xian Ren, Zi-Ying Chen
2021-12-22
Computer Vision and Pattern Recognition · Computer Science
Energy-constrained Self-training for Unsupervised Domain Adaptation
Xiaofeng Liu, Bo Hu, Xiongchang Liu, Jun Lu +2
2021-01-05
Computer Vision and Pattern Recognition · Computer Science
Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training
Teo Spadotto, Marco Toldo, Umberto Michieli, Pietro Zanuttigh
2020-04-28
Image and Video Processing · Electrical Eng. & Systems
Test-time Unsupervised Domain Adaptation
Thomas Varsavsky, Mauricio Orbes-Arteaga, Carole H. Sudre, Mark S. Graham +2
2020-10-06
Computer Vision and Pattern Recognition · Computer Science
Rethinking Unsupervised Domain Adaptation for Semantic Segmentation
Zhijie Wang, Masanori Suganuma, Takayuki Okatani
2024-01-23
Computation and Language · Computer Science
From Fake to Hyperpartisan News Detection Using Domain Adaptation
Răzvan-Alexandru Smădu, Sebastian-Vasile Echim, Dumitru-Clementin Cercel, Iuliana Marin +1
2023-08-07
Computer Vision and Pattern Recognition · Computer Science
Domain-Augmented Domain Adaptation
Qiuhao Zeng, Tianze Luo, Boyu Wang
2022-02-22
Computer Vision and Pattern Recognition · Computer Science
Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation
Songsong Wu, Yan Yan, Hao Tang, Jianjun Qian +2
2019-05-14
Computer Vision and Pattern Recognition · Computer Science
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
Hui Tang, Ke Chen, Kui Jia
2020-03-20
Computer Vision and Pattern Recognition · Computer Science
Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation
Xu Ma, Junkun Yuan, Yen-wei Chen, Ruofeng Tong +1
2022-03-01
Computer Vision and Pattern Recognition · Computer Science
Multi-Target Unsupervised Domain Adaptation for Semantic Segmentation without External Data
Yonghao Xu, Pedram Ghamisi, Yannis Avrithis
2024-05-13
Computer Vision and Pattern Recognition · Computer Science
Unsupervised Domain Adaptation for Segmentation with Black-box Source Model
Xiaofeng Liu, Chaehwa Yoo, Fangxu Xing, C. -C. Jay Kuo +2
2022-08-17
Computer Vision and Pattern Recognition · Computer Science
Robustified Domain Adaptation
Jiajin Zhang, Hanqing Chao, Pingkun Yan
2021-03-26
R2 v1 2026-06-23T14:18:15.208Z