Results 21 to 30 of about 3,020,093 (290)
Benchmarking Domain Adaptation Methods on Aerial Datasets
Sensors, 2021 Deep learning grew in importance in recent years due to its versatility and excellent performance on supervised classification tasks. A core assumption for such supervised approaches is that the training and testing data are drawn from the same ...
Navya Nagananda +6 more
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Unsupervised Domain Adaptation Based on Style Aware [PDF]
Jisuanji kexue, 2022 In recent years,neural machine translation has made significant progress in translation quality,but it relies on parallel bilingual sentence pairs heavily during the training process.However,parallel resources are scarce for the e-commerce domain,in ...
NING Qiu-yi, SHI Xiao-jing, DUAN Xiang-yu, ZHANG Min
doaj +1 more source
Unsupervised Domain Adaptation via Domain-Adaptive Diffusion
CoRR, 2023 Unsupervised Domain Adaptation (UDA) is quite challenging due to the large distribution discrepancy between the source domain and the target domain. Inspired by diffusion models which have strong capability to gradually convert data distributions across a large gap, we consider to explore the diffusion technique to handle the challenging UDA task ...
Duo Peng +3 more
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Cross-Domain Contrastive Learning for Unsupervised Domain Adaptation [PDF]
IEEE Transactions on Multimedia, 2023 IEEE Transactions on ...
Rui Wang 0095 +5 more
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Cross Domain Mean Approximation for Unsupervised Domain Adaptation
IEEE Access, 2020 Unsupervised Domain Adaptation (UDA) aims to leverage the knowledge from the labeled source domain to help the task of target domain with the unlabeled data. It is a key step for UDA to minimize the cross-domain distribution divergence. In this paper, we
Shaofei Zang +4 more
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Unsupervised Domain Adaptation Based on Correlation Maximization
IEEE Access, 2021 This research proposes a novel unsupervised domain adaptation algorithm for cross-domain visual recognition. Distance Correlation-based Domain Adaptation or DCDA algorithm is developed by a correlation measure, called distance correlation.
Lida Abdi, Sattar Hashemi
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Unsupervised domain adaptation with copula models [PDF]
2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP), 2017 IEEE International Workshop On Machine Learning for Signal Processing ...
Cuong D. Tran +2 more
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Unsupervised Domain Adaptation Based on Pseudo-Label Confidence
IEEE Access, 2021 Unsupervised domain adaptation aims to align the distributions of data in source and target domains, as well as assign the labels to data in the target domain.
Tingting Fu, Ying Li
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A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation [PDF]
, 2022 We consider the problem of volumetric (3D) unsupervised domain adaptation (UDA) in cross-modality medical image segmentation, aiming to perform segmentation on the unannotated target domain (e.g. MRI) with the help of labeled source domain (e.g.
Hussain, Amir +6 more
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Adversarial Robustness for Unsupervised Domain Adaptation [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 Accepted by ICCV ...
Muhammad Awais +6 more
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