Multiple Tasks-Based Multi-Source Domain Adaptation Using Divide-and-Conquer Strategy-Reference-Cited by-同舟云学术

Multiple Tasks-Based Multi-Source Domain Adaptation Using Divide-and-Conquer Strategy

Published:2023 Issue: Volume:11 Page:134969-134985
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ngo Ba Hung¹^ORCID,Chae Yeon Jeong¹^ORCID,Park So Jeong¹,Kim Ju Hyun¹^ORCID,Cho Sung In¹^ORCID

Affiliation:

1. Department of Multimedia Engineering, Dongguk University, Seoul, South Korea

Funder

National Research Foundation of Korea

Korea Government

Institute of Information and Communications Technology Planning and Evaluation (IITP) under the Artificial Intelligence Convergence Innovation Human Resources Development

Development of Neural Network Architecture and Circuits for Few-Shot Learning

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10332198.pdf?arnumber=10332198

Reference75 articles.

1. Point2Lane: Polyline-Based Reconstruction With Principal Points for Lane Detection

2. Unsupervised Domain Adaptive Object Detection Using Forward-Backward Cyclic Adaptation

3. Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection

4. Unsupervised Domain Adaptation for Semantic Segmentation of Urban Scenes

5. Pseudo Label Rectification via Co-Teaching and Decoupling for Multisource Domain Adaptation in Semantic Segmentation

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