Invention Application
- Patent Title: MODEL AND METHOD FOR MULTI-SOURCE DOMAIN ADAPTATION BY ALIGNING PARTIAL FEATURES
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Application No.: US17519604Application Date: 2021-11-05
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Publication No.: US20220138495A1Publication Date: 2022-05-05
- Inventor: Xing XU , Yangye FU , Yang YANG , Jie SHAO , Zheng WANG
- Applicant: University of Electronic Science and Technology of China
- Applicant Address: CN Chengdu
- Assignee: University of Electronic Science and Technology of China
- Current Assignee: University of Electronic Science and Technology of China
- Current Assignee Address: CN Chengdu
- Priority: CN202011223578.5 20201105
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N3/04 ; G06N3/08

Abstract:
A multi-source domain adaptation model by aligning partial features includes a general feature extraction module, a feature selection module for partial feature extraction with the dedicated loss function, three partial feature alignment losses, and two classifiers for adversarial training, where the three partial feature alignment losses include an intra-class partial feature alignment loss, an inter-domain partial feature alignment loss, and an inter-class partial feature alignment loss. With the partial features extracted by the general feature extraction module and the feature selection module following three different partial feature alignment losses, the model is capable of clustering the samples from the identical categories and isolating samples from distinct classes.
Public/Granted literature
- US11960568B2 Model and method for multi-source domain adaptation by aligning partial features Public/Granted day:2024-04-16
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