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Published in 2020 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-019-01286-9
Abstract: In this paper, we aim to improve traditional DNN x-vector language identification performance by employing wide residual networks (WRN) as a powerful feature extractor which we combine with a novel frequency attention network. Compared with…
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Keywords:
network;
frequency;
time;
frequency attention ... See more keywords
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Published in 2022 at "Big data"
DOI: 10.1089/big.2022.0039
Abstract: Counting the number of people in crowded scenarios is a crucial task in video surveillance and urban security system. Widely deployed surveillance cameras provide big data for training, a compelling deep learning-based counting network. However,…
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Keywords:
frequency attention;
frequency;
attention network;
spatial frequency ... See more keywords