版权说明 操作指南
首页 > 成果 > 详情

BiPC: Bidirectional Probability Calibration for Unsupervised Domain Adaption

认领
导出
Link by DOI
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Zhou, Wenlve;Zhou, Zhiheng;Shang, Junyuan;Niu, Chang;Zhang, Mingyue;...
通讯作者:
Zhou, ZH
作者机构:
[Tao, Xiyuan; Shang, Junyuan; Zhou, Zhiheng; Zhou, Wenlve; Niu, Chang] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Peoples R China.
[Zhang, Mingyue] Univ South China, Sch Comp, Hengyang 421001, Peoples R China.
[Wang, Tianlei] Wuyi Univ, Sch Elect & Informat Engn, Jiangmen 529020, Peoples R China.
通讯机构:
[Zhou, ZH ] S
South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Peoples R China.
语种:
英文
关键词:
Deep learning;Unsupervised domain adaption;Transfer learning;Probability calibration;Pseudo labeling
期刊:
Expert Systems with Applications
ISSN:
0957-4174
年:
2025
卷:
261
页码:
125460
基金类别:
National Key Research and Development Program of China [2022YFF0607001]; Guangdong Basic and Applied Basic Research Foundation, China [2023A1515010993]; Guangdong Provincial Key Laboratory of Human Digital Twin [2022B12 12010004]; Guangzhou City Science and Technology Research Projects, China [2023B01J0011]; Jiangmen Science and Technology Research Projects, China [2021080200070009151]; Shaoguan Science and Technology Research Project, China [230316116276286]; Foshan Science and Technology Research Project, China [2220001018608]; Zhuhai Science and Technology Research Project, China [2320004002668]
机构署名:
本校为其他机构
摘要:
Unsupervised Domain Adaptation (UDA) leverages a labeled source domain to solve tasks in an unlabeled target domain. While Transformer-based methods have shown promise in UDA, their application is limited to plain Transformers, excluding Convolutional Neural Networks (CNNs) and hierarchical Transformers. To address this issues, we propose Bidirectional Probability Calibration (BiPC) from a probability space perspective. We demonstrate that the probability outputs from a pre-trained head, after extensive pre-training, are robust against domain gaps and can adjust the probability distribution of...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com