229 related articles for article (PubMed ID: 27723579)
1. Optimal Transport for Domain Adaptation.
Courty N; Flamary R; Tuia D; Rakotomamonjy A
IEEE Trans Pattern Anal Mach Intell; 2017 Sep; 39(9):1853-1865. PubMed ID: 27723579
[TBL] [Abstract][Full Text] [Related]
2. Few-Shot Domain Adaptation via Mixup Optimal Transport.
Xu B; Zeng Z; Lian C; Ding Z
IEEE Trans Image Process; 2022; 31():2518-2528. PubMed ID: 35275818
[TBL] [Abstract][Full Text] [Related]
3. Joint Clustering and Discriminative Feature Alignment for Unsupervised Domain Adaptation.
Deng W; Liao Q; Zhao L; Guo D; Kuang G; Hu D; Liu L
IEEE Trans Image Process; 2021; 30():7842-7855. PubMed ID: 34506283
[TBL] [Abstract][Full Text] [Related]
4. Domain Invariant and Class Discriminative Feature Learning for Visual Domain Adaptation.
Li S; Song S; Huang G; Ding Z; Wu C
IEEE Trans Image Process; 2018 Sep; 27(9):4260-4273. PubMed ID: 29870346
[TBL] [Abstract][Full Text] [Related]
5. Feature Space Independent Semi-Supervised Domain Adaptation via Kernel Matching.
Xiao M; Guo Y
IEEE Trans Pattern Anal Mach Intell; 2015 Jan; 37(1):54-66. PubMed ID: 26353208
[TBL] [Abstract][Full Text] [Related]
6. Beyond Sharing Weights for Deep Domain Adaptation.
Rozantsev A; Salzmann M; Fua P
IEEE Trans Pattern Anal Mach Intell; 2019 Apr; 41(4):801-814. PubMed ID: 29994060
[TBL] [Abstract][Full Text] [Related]
7. Reducing bias to source samples for unsupervised domain adaptation.
Ye Y; Huang Z; Pan T; Li J; Shen HT
Neural Netw; 2021 Sep; 141():61-71. PubMed ID: 33866303
[TBL] [Abstract][Full Text] [Related]
8. Self-Paced Collaborative and Adversarial Network for Unsupervised Domain Adaptation.
Zhang W; Xu D; Ouyang W; Li W
IEEE Trans Pattern Anal Mach Intell; 2021 Jun; 43(6):2047-2061. PubMed ID: 31880543
[TBL] [Abstract][Full Text] [Related]
9. Adversarial Entropy Optimization for Unsupervised Domain Adaptation.
Ma A; Li J; Lu K; Zhu L; Shen HT
IEEE Trans Neural Netw Learn Syst; 2022 Nov; 33(11):6263-6274. PubMed ID: 33939616
[TBL] [Abstract][Full Text] [Related]
10. Dual-Representation-Based Autoencoder for Domain Adaptation.
Yang S; Yu K; Cao F; Wang H; Wu X
IEEE Trans Cybern; 2022 Aug; 52(8):7464-7477. PubMed ID: 33400661
[TBL] [Abstract][Full Text] [Related]
11. Learning explicitly transferable representations for domain adaptation.
Jing M; Li J; Lu K; Zhu L; Yang Y
Neural Netw; 2020 Oct; 130():39-48. PubMed ID: 32619795
[TBL] [Abstract][Full Text] [Related]
12. Domain Adaptation With Neural Embedding Matching.
Wang Z; Du B; Guo Y
IEEE Trans Neural Netw Learn Syst; 2020 Jul; 31(7):2387-2397. PubMed ID: 31536022
[TBL] [Abstract][Full Text] [Related]
13. Unsupervised Adaptation Across Domain Shifts by Generating Intermediate Data Representations.
Gopalan R; Ruonan Li ; Chellappa R
IEEE Trans Pattern Anal Mach Intell; 2014 Nov; 36(11):2288-302. PubMed ID: 26353067
[TBL] [Abstract][Full Text] [Related]
14. Multi-source adaptation joint kernel sparse representation for visual classification.
Tao J; Hu W; Wen S
Neural Netw; 2016 Apr; 76():135-151. PubMed ID: 26894961
[TBL] [Abstract][Full Text] [Related]
15. Flowing on Riemannian manifold: domain adaptation by shifting covariance.
Cui Z; Li W; Xu D; Shan S; Chen X; Li X
IEEE Trans Cybern; 2014 Dec; 44(12):2264-73. PubMed ID: 25415937
[TBL] [Abstract][Full Text] [Related]
16. Inferring Latent Domains for Unsupervised Deep Domain Adaptation.
Mancini M; Porzi L; Bulo SR; Caputo B; Ricci E
IEEE Trans Pattern Anal Mach Intell; 2021 Feb; 43(2):485-498. PubMed ID: 31398109
[TBL] [Abstract][Full Text] [Related]
17. Contradistinguisher: A Vapnik's Imperative to Unsupervised Domain Adaptation.
Balgi S; Dukkipati A
IEEE Trans Pattern Anal Mach Intell; 2022 Sep; 44(9):4730-4747. PubMed ID: 33822721
[TBL] [Abstract][Full Text] [Related]
18. A Co-Training Framework for Heterogeneous Heuristic Domain Adaptation.
Yang C; Xue B; Tan KC; Zhang M
IEEE Trans Neural Netw Learn Syst; 2024 May; 35(5):6863-6877. PubMed ID: 36269922
[TBL] [Abstract][Full Text] [Related]
19. Semi-supervised Deep Domain Adaptation via Coupled Neural Networks.
Ding Z; Nasrabadi NM; Fu Y
IEEE Trans Image Process; 2018 Nov; 27(11):5214-5224. PubMed ID: 29994676
[TBL] [Abstract][Full Text] [Related]
20. Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation.
Yang X; Deng C; Liu T; Tao D
IEEE Trans Pattern Anal Mach Intell; 2022 Apr; 44(4):1992-2003. PubMed ID: 32966212
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
