Pseudo Label Rectification via Co-Teaching and Decoupling for Multisource Domain Adaptation in Semantic Segmentation
Author:
Affiliation:
1. Department of Multimedia Engineering, Dongguk University, Seoul, South Korea
2. Department of Electronics and Electrical Engineering, Daegu University, Gyeongsan-si, South Korea
Funder
National Research Foundation of Korea (NRF) Grant funded by the Korean Government
Korea Institute of Police Technology (KIPoT) Grant funded by the Korea Government (KNPA)
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/ielx7/6287639/9668973/09868789.pdf?arnumber=9868789
Reference56 articles.
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4. Category anchor-guided unsupervised domain adaptation for semantic segmentation;zhang;Proc Adv Neural Inf Process Syst,2019
5. Multiple fusion adaptation: A strong framework for unsupervised semantic segmentation adaptation;zhang;arXiv 2112 00295,2021
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