114 related articles for article (PubMed ID: 38315607)
1. Evidential Multi-Source-Free Unsupervised Domain Adaptation.
Pei J; Men A; Liu Y; Zhuang X; Chen Q
IEEE Trans Pattern Anal Mach Intell; 2024 Aug; 46(8):5288-5305. PubMed ID: 38315607
[TBL] [Abstract][Full Text] [Related]
2. Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain Adaptation.
Pei J; Jiang Z; Men A; Chen L; Liu Y; Chen Q
IEEE Trans Image Process; 2023; 32():2033-2048. PubMed ID: 37030696
[TBL] [Abstract][Full Text] [Related]
3. M-MSSEU: source-free domain adaptation for multi-modal stroke lesion segmentation using shadowed sets and evidential uncertainty.
Wang Z; Zhu H; Huang B; Wang Z; Lu W; Chen N; Wang Y
Health Inf Sci Syst; 2023 Dec; 11(1):46. PubMed ID: 37780536
[TBL] [Abstract][Full Text] [Related]
4. Unsupervised Domain Adaptation with Asymmetrical Margin Disparity loss and Outlier Sample Extraction.
He C; Fan X; Zhou K; Ye Z
Neural Netw; 2023 Nov; 168():602-614. PubMed ID: 37839331
[TBL] [Abstract][Full Text] [Related]
5. Evidential Deep Learning for Guided Molecular Property Prediction and Discovery.
Soleimany AP; Amini A; Goldman S; Rus D; Bhatia SN; Coley CW
ACS Cent Sci; 2021 Aug; 7(8):1356-1367. PubMed ID: 34471680
[TBL] [Abstract][Full Text] [Related]
6. Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation.
Lee J; Lee G
Neural Netw; 2023 Apr; 161():682-692. PubMed ID: 36841039
[TBL] [Abstract][Full Text] [Related]
7. Uncertainty-Aware Dual-Evidential Learning for Weakly-Supervised Temporal Action Localization.
Chen M; Gao J; Xu C
IEEE Trans Pattern Anal Mach Intell; 2023 Dec; 45(12):15896-15911. PubMed ID: 37624714
[TBL] [Abstract][Full Text] [Related]
8. Source free domain adaptation for medical image segmentation with fourier style mining.
Yang C; Guo X; Chen Z; Yuan Y
Med Image Anal; 2022 Jul; 79():102457. PubMed ID: 35461016
[TBL] [Abstract][Full Text] [Related]
9. Source-Free Active Domain Adaptation via Augmentation-Based Sample Query and Progressive Model Adaptation.
Li S; Zhang R; Gong K; Xie M; Ma W; Gao G
IEEE Trans Neural Netw Learn Syst; 2023 Dec; PP():. PubMed ID: 38127604
[TBL] [Abstract][Full Text] [Related]
10. Adaptive Contrastive Learning with Label Consistency for Source Data Free Unsupervised Domain Adaptation.
Zhao X; Stanislawski R; Gardoni P; Sulowicz M; Glowacz A; Krolczyk G; Li Z
Sensors (Basel); 2022 Jun; 22(11):. PubMed ID: 35684857
[TBL] [Abstract][Full Text] [Related]
11. Mutual-Prototype Adaptation for Cross-Domain Polyp Segmentation.
Yang C; Guo X; Zhu M; Ibragimov B; Yuan Y
IEEE J Biomed Health Inform; 2021 Oct; 25(10):3886-3897. PubMed ID: 33945490
[TBL] [Abstract][Full Text] [Related]
12. Dynamic Instance Domain Adaptation.
Deng Z; Zhou K; Li D; He J; Song YZ; Xiang T
IEEE Trans Image Process; 2022; 31():4585-4597. PubMed ID: 35776810
[TBL] [Abstract][Full Text] [Related]
13. Birds of a Feather Flock Together: Category-Divergence Guidance for Domain Adaptive Segmentation.
Yuan B; Zhao D; Shao S; Yuan Z; Wang C
IEEE Trans Image Process; 2022; 31():2878-2892. PubMed ID: 35358045
[TBL] [Abstract][Full Text] [Related]
14. Semantic consistency learning on manifold for source data-free unsupervised domain adaptation.
Tang S; Zou Y; Song Z; Lyu J; Chen L; Ye M; Zhong S; Zhang J
Neural Netw; 2022 Aug; 152():467-478. PubMed ID: 35640369
[TBL] [Abstract][Full Text] [Related]
15. Multi-Source Domain Adaptation for Medical Image Segmentation.
Pei C; Wu F; Yang M; Pan L; Ding W; Dong J; Huang L; Zhuang X
IEEE Trans Med Imaging; 2024 Apr; 43(4):1640-1651. PubMed ID: 38133966
[TBL] [Abstract][Full Text] [Related]
16. Contrastive Adaptation Network for Single- and Multi-Source Domain Adaptation.
Kang G; Jiang L; Wei Y; Yang Y; Hauptmann A
IEEE Trans Pattern Anal Mach Intell; 2022 Apr; 44(4):1793-1804. PubMed ID: 33035160
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. From Laboratory to Field: Unsupervised Domain Adaptation for Plant Disease Recognition in the Wild.
Wu X; Fan X; Luo P; Choudhury SD; Tjahjadi T; Hu C
Plant Phenomics; 2023; 5():0038. PubMed ID: 37011278
[TBL] [Abstract][Full Text] [Related]
19. Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.
Xia Y; Yang D; Yu Z; Liu F; Cai J; Yu L; Zhu Z; Xu D; Yuille A; Roth H
Med Image Anal; 2020 Oct; 65():101766. PubMed ID: 32623276
[TBL] [Abstract][Full Text] [Related]
20. Mind the Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation.
Su Z; Yao K; Yang X; Wang Q; Yan Y; Sun J; Huang K
IEEE J Biomed Health Inform; 2023 Jul; 27(7):3396-3407. PubMed ID: 37134027
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
