Multi-adversarial domain adaptation method based on feature correction
Domain adaptation can transfer labeled source domain information to an unlabeled but related target domain by aligning the distribution of source domain and target domain.However, most existing methods only align the low-level feature distributions of the source and target domains, failing to captur...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2024-01-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024014/ |
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| _version_ | 1841533667917168640 |
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| author | Yong ZHANG Haoshuang LIU Qi ZHANG Wenzhe LIU |
| author_facet | Yong ZHANG Haoshuang LIU Qi ZHANG Wenzhe LIU |
| author_sort | Yong ZHANG |
| collection | DOAJ |
| description | Domain adaptation can transfer labeled source domain information to an unlabeled but related target domain by aligning the distribution of source domain and target domain.However, most existing methods only align the low-level feature distributions of the source and target domains, failing to capture fine-grained information within the samples.To address this limitation, a feature correction-based multi-adversarial domain adaptation method was proposed.An attention mechanism to highlight transferable regions was introduced in this method and a feature correction module was deployed to align the high-level feature distributions between the two domains, further reducing domain discrepancies.Additionally, to prevent individual classifiers from overfitting their own noisy pseudo-labels,dual classifier co-training was proposed and the feature aggregation property of graph neural networks was utilized to generate more accurate source domain labels.Extensive experiments on three benchmark datasets for transfer learning demonstrate the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-c24b2da70b49449ebaf5eccacfe7e18b |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2024-01-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-c24b2da70b49449ebaf5eccacfe7e18b2025-01-15T02:57:31ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012024-01-0140718259557163Multi-adversarial domain adaptation method based on feature correctionYong ZHANGHaoshuang LIUQi ZHANGWenzhe LIUDomain adaptation can transfer labeled source domain information to an unlabeled but related target domain by aligning the distribution of source domain and target domain.However, most existing methods only align the low-level feature distributions of the source and target domains, failing to capture fine-grained information within the samples.To address this limitation, a feature correction-based multi-adversarial domain adaptation method was proposed.An attention mechanism to highlight transferable regions was introduced in this method and a feature correction module was deployed to align the high-level feature distributions between the two domains, further reducing domain discrepancies.Additionally, to prevent individual classifiers from overfitting their own noisy pseudo-labels,dual classifier co-training was proposed and the feature aggregation property of graph neural networks was utilized to generate more accurate source domain labels.Extensive experiments on three benchmark datasets for transfer learning demonstrate the effectiveness of the proposed method.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024014/domain adaptationtransfer learningadversarial networkattention mechanism |
| spellingShingle | Yong ZHANG Haoshuang LIU Qi ZHANG Wenzhe LIU Multi-adversarial domain adaptation method based on feature correction Dianxin kexue domain adaptation transfer learning adversarial network attention mechanism |
| title | Multi-adversarial domain adaptation method based on feature correction |
| title_full | Multi-adversarial domain adaptation method based on feature correction |
| title_fullStr | Multi-adversarial domain adaptation method based on feature correction |
| title_full_unstemmed | Multi-adversarial domain adaptation method based on feature correction |
| title_short | Multi-adversarial domain adaptation method based on feature correction |
| title_sort | multi adversarial domain adaptation method based on feature correction |
| topic | domain adaptation transfer learning adversarial network attention mechanism |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024014/ |
| work_keys_str_mv | AT yongzhang multiadversarialdomainadaptationmethodbasedonfeaturecorrection AT haoshuangliu multiadversarialdomainadaptationmethodbasedonfeaturecorrection AT qizhang multiadversarialdomainadaptationmethodbasedonfeaturecorrection AT wenzheliu multiadversarialdomainadaptationmethodbasedonfeaturecorrection |