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PIC: Domain generalization by path information constraint

文献类型：期刊论文

作者Zhu, Jilong1,3; Zhuo, Junbao2; Wang, Shuhui1
刊名PATTERN RECOGNITION
出版日期2025-12-01
卷号168页码:12
关键词Domain generalization Transfer learning Path information constraint Adversarial manifold learning
ISSN号0031-3203
DOI10.1016/j.patcog.2025.111769
英文摘要Despite the widespread use of deep neural networks in various tasks, their weak generalization ability to out-of-distribution data has always been one of the challenges hindering their practical applications. Domain Generalization (DG) aims to address this issue by learning domain-robust features across source domains, enabling models to generalize well to unseen target domains. Although DG has received extensive attention, existing solutions often overlook the relationships between different source domains and fail to make good utilization of the information contained in the source domain data to enhance the model's generalization ability. In this paper, we propose the Path Information Constraint (PIC) method, which enhances training diversity by constructing distinct learning paths within source domains and leverages constraints between paths to capture consistent and generalizable features. Experimental results show that our method achieves competitive results on multiple challenging benchmarks. PIC outperforms the best non-ensembled method by an average of 0.7% across four benchmarks, especially a 3.3% improvement on the OfficeHome benchmark. Furthermore, ensembling PIC by averaging multiple independently trained models leads to further improvements. The code is available at: https://github.com/JilongZhu/path_information_constraint.
资助项目National Key R&D Program of China[2023YFC2508704] ; National Natural Science Foundation of China[62022083] ; National Natural Science Foundation of China[62236008] ; National Natural Science Foundation of China[62402033]
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:001501491400001
出版者ELSEVIER SCI LTD
源URL[http://119.78.100.204/handle/2XEOYT63/42317]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhuo, Junbao
作者单位1.Chinese Acad Sci, Inst Comput Tech, Key Lab Intell Info Proc, Beijing, Peoples R China
2.Univ Sci & Technol Beijing, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Zhu, Jilong,Zhuo, Junbao,Wang, Shuhui. PIC: Domain generalization by path information constraint[J]. PATTERN RECOGNITION,2025,168:12.
APA Zhu, Jilong,Zhuo, Junbao,&Wang, Shuhui.(2025).PIC: Domain generalization by path information constraint.PATTERN RECOGNITION,168,12.
MLA Zhu, Jilong,et al."PIC: Domain generalization by path information constraint".PATTERN RECOGNITION 168(2025):12.

入库方式： OAI收割

来源：计算技术研究所

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