Seek Common Ground While Reserving Differences: A Model-Agnostic Module for Noisy Domain Adaptation
文献类型：期刊论文
| 作者 | Zuo, Yukun3; Yao, Hantao2 ; Zhuang, Liansheng3; Xu, Changsheng1,2
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| 刊名 | IEEE TRANSACTIONS ON MULTIMEDIA
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| 出版日期 | 2022 |
| 卷号 | 24页码:1020-1030 |
| 关键词 | Noise measurement Adaptation models Predictive models Reliability Task analysis Standards Data models Noisy domain adaptation Seek common ground component Reserve differences component |
| ISSN号 | 1520-9210 |
| DOI | 10.1109/TMM.2021.3097495 |
| 通讯作者 | Xu, Changsheng(csxu@nlpr.ia.ac.cn) |
| 英文摘要 | Noisy domain adaptation aims to solve the problem that the source dataset contains noisy labels in domain adaptation. Previous methods handle noisy labels by selecting the small-loss samples with inconsistent predictions between two models and discarding the consistent samples, resulting in many noises contained in the selected samples. By jointly considering the consistent and inconsistent samples, we propose a model-agnostic module, named Seek Common Ground While Reserving Differences (SCGWRD), to reduce the impact of noisy samples. The proposed SCGWRD module consists of Seek Common Ground (SCG) component and Reserve Differences (RD) component by utilizing the outputs of two symmetrical domain adaptation models. As the common samples with consistent predictions between two models are more likely to be clean samples, the SCG component applies the small-loss strategy to select the reliable samples with consistent predictions. Unlike SCG, the RD component maintains the divergences between two models with mutual learning and reduces the effect of noisy data using the samples with different predictions and small losses. Evaluations on three benchmarks demonstrate the effectiveness and robustness of the proposed SCGWRD module for noisy domain adaptation. |
| 资助项目 | National Key Research and Development Program of China[2018AAA0102205] ; National Natural Science Foundation of China[61902399] ; National Natural Science Foundation of China[61721004] ; National Natural Science Foundation of China[U1836220] ; National Natural Science Foundation of China[U1705262] ; National Natural Science Foundation of China[61832002] ; National Natural Science Foundation of China[61720106006] ; National Natural Science Foundation of China[U20B2070] ; National Natural Science Foundation of China[61976199] ; National Natural Science Foundation of China[62036012] ; Beijing Natural Science Foundation[L201001] ; Key Research Program of Frontier Sciences, CAS[QYZDJ-SSW-JSC039] |
| WOS研究方向 | Computer Science ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:000764821800001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Beijing Natural Science Foundation ; Key Research Program of Frontier Sciences, CAS |
| 源URL | [http://ir.ia.ac.cn/handle/173211/48011]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队 |
| 通讯作者 | Xu, Changsheng |
| 作者单位 | 1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 3.Univ Sci & Technol China, Sch Informat Sci & Technol, Hefei 230026, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zuo, Yukun,Yao, Hantao,Zhuang, Liansheng,et al. Seek Common Ground While Reserving Differences: A Model-Agnostic Module for Noisy Domain Adaptation[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2022,24:1020-1030. |
| APA | Zuo, Yukun,Yao, Hantao,Zhuang, Liansheng,&Xu, Changsheng.(2022).Seek Common Ground While Reserving Differences: A Model-Agnostic Module for Noisy Domain Adaptation.IEEE TRANSACTIONS ON MULTIMEDIA,24,1020-1030. |
| MLA | Zuo, Yukun,et al."Seek Common Ground While Reserving Differences: A Model-Agnostic Module for Noisy Domain Adaptation".IEEE TRANSACTIONS ON MULTIMEDIA 24(2022):1020-1030. |
入库方式： OAI收割
来源：自动化研究所
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