Multiparty Dual Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2021.3139076
Abstract: The performance of machine learning algorithms heavily relies on the availability of a large amount of training data. However, in reality, data usually reside in distributed parties such as different institutions and may not be… read more here.
Keywords: multiparty dual; dual learning; learning;
Property-Constrained Dual Learning for Video Summarization
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2019.2951680
Abstract: Video summarization is the technique to condense large-scale videos into summaries composed of key-frames or key-shots so that the viewers can browse the video content efficiently. Recently, supervised approaches have achieved great success by taking… read more here.
Keywords: video; video summarization; dual learning; property ... See more keywords