Adaptive Boosting for Domain Adaptation: Toward Robust Predictions in Scene Segmentation

10.1109/TIP.2022.3195642

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Main Authors:	Zheng, Zhedong, Yang, Yi
Other Authors:	DEPARTMENT OF COMPUTER SCIENCE
Format:	Article
Language:	English
Published:	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 2023
Subjects:	Science & Technology Technology Computer Science, Artificial Intelligence Engineering, Electrical & Electronic Computer Science Engineering Adaptation models Data models Training Predictive models Computational modeling Semantics Benchmark testing Domain adaptation scene segmentation
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/245850
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-245850
record_format	dspace
spelling	sg-nus-scholar.10635-2458502023-11-09T06:04:45Z Adaptive Boosting for Domain Adaptation: Toward Robust Predictions in Scene Segmentation Zheng, Zhedong Yang, Yi DEPARTMENT OF COMPUTER SCIENCE Science & Technology Technology Computer Science, Artificial Intelligence Engineering, Electrical & Electronic Computer Science Engineering Adaptation models Data models Training Predictive models Computational modeling Semantics Benchmark testing Domain adaptation scene segmentation 10.1109/TIP.2022.3195642 IEEE TRANSACTIONS ON IMAGE PROCESSING 31 5371-5382 2023-11-09T05:28:14Z 2023-11-09T05:28:14Z 2022 2023-11-09T04:15:48Z Article Zheng, Zhedong, Yang, Yi (2022). Adaptive Boosting for Domain Adaptation: Toward Robust Predictions in Scene Segmentation. IEEE TRANSACTIONS ON IMAGE PROCESSING 31 : 5371-5382. ScholarBank@NUS Repository. https://doi.org/10.1109/TIP.2022.3195642 1057-7149 1941-0042 https://scholarbank.nus.edu.sg/handle/10635/245850 en IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Science & Technology Technology Computer Science, Artificial Intelligence Engineering, Electrical & Electronic Computer Science Engineering Adaptation models Data models Training Predictive models Computational modeling Semantics Benchmark testing Domain adaptation scene segmentation
spellingShingle	Science & Technology Technology Computer Science, Artificial Intelligence Engineering, Electrical & Electronic Computer Science Engineering Adaptation models Data models Training Predictive models Computational modeling Semantics Benchmark testing Domain adaptation scene segmentation Zheng, Zhedong Yang, Yi Adaptive Boosting for Domain Adaptation: Toward Robust Predictions in Scene Segmentation
description	10.1109/TIP.2022.3195642
author2	DEPARTMENT OF COMPUTER SCIENCE
author_facet	DEPARTMENT OF COMPUTER SCIENCE Zheng, Zhedong Yang, Yi
format	Article
author	Zheng, Zhedong Yang, Yi
author_sort	Zheng, Zhedong
title	Adaptive Boosting for Domain Adaptation: Toward Robust Predictions in Scene Segmentation
title_short	Adaptive Boosting for Domain Adaptation: Toward Robust Predictions in Scene Segmentation
title_full	Adaptive Boosting for Domain Adaptation: Toward Robust Predictions in Scene Segmentation
title_fullStr	Adaptive Boosting for Domain Adaptation: Toward Robust Predictions in Scene Segmentation
title_full_unstemmed	Adaptive Boosting for Domain Adaptation: Toward Robust Predictions in Scene Segmentation
title_sort	adaptive boosting for domain adaptation: toward robust predictions in scene segmentation
publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
publishDate	2023
url	https://scholarbank.nus.edu.sg/handle/10635/245850
_version_	1783955441975296000

Adaptive Boosting for Domain Adaptation: Toward Robust Predictions in Scene Segmentation

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