Class-wise Contrastive Prototype Learning for Semi-Supervised Classification under Intersectional Class Mismatch

已完结 10 由芳发布于 2024/3/24 11:06:37

DOI:10.1109/TMM.2024.3377123
文献类型：期刊论文
补充材料：只需要正文
文献链接：https://doi.org/10.1109/tmm.2024.3377123

Institute of Electrical and Electronics Engineers (IEEE)

Abstract：Traditional Semi-Supervised Learning (SSL) classification methods focus on leveraging unlabeled data to improve the model performance under the setting where labeled set and unlabeled set sh

应助信息

求助已完结，文件已删除 如有需求请重新发布求助一键发布

感谢使用Book学术
本站所有文献仅供个人学习和参考，请勿将文件进行传播。共同遵守网站规定和相关知识产权规定。

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:Association for Computing Machinery (ACM)Scenario-Based Adaptations of Differential Privacy: A Technical Survey