A New Time–Frequency Attention Tensor Network for Language Identification
Sign Up to like & getrecommendations! 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… read more here.
Keywords: network; frequency; time; frequency attention ... See more keywords
Deep nested U-structure network with frequency attention for building semantic segmentation
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-13890-8
Abstract: The automated segmentation of buildings from remotely sensed imagery has undergone extensive research and application across various industrial domains. Despite this, several challenges persist, including incomplete internal extraction, low accuracy in edge segmentation, and difficulties… read more here.
Keywords: segmentation; structure; deep nested; frequency attention ... See more keywords
Spatial-Frequency Attention Network for Crowd Counting
Sign Up to like & getrecommendations! 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,… read more here.
Keywords: frequency attention; frequency; attention network; spatial frequency ... See more keywords
S2F2AN: Spatial–Spectral Fusion Frequency Attention Network for Chinese Herbal Medicines Hyperspectral Image Segmentation
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3551588
Abstract: Chinese herbal medicine (CHM), as a treasure of the Chinese nation, is critically important for ensuring therapeutic efficacy through quality identification. Due to the subtle spatial feature differences among certain homologous CHM, existing identification methods… read more here.
Keywords: fusion; frequency attention; network; spatial spectral ... See more keywords
UN15: An Urban Noise Dataset Coupled with Time–Frequency Attention for Environmental Sound Classification
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DOI: 10.3390/app15158413
Abstract: With the increasing severity of urban noise pollution, its detrimental impact on public health has garnered growing attention. However, accurate identification and classification of noise sources in complex urban acoustic environments remain major technical challenges… read more here.
Keywords: classification; dataset; frequency attention; urban noise ... See more keywords