Association between the level of attention and dual‐task costs on postural sway and cognitive yield in children, adolescents, and young adults
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Developmental Neuroscience"
DOI: 10.1002/jdn.10092
Abstract: Postural stability requires attentional resources. Dual‐task paradigms are used to investigate the attentional demand of the studied tasks. However, no studies have been conducted on the subjects' level of attention, analyzing its association with dual‐task… read more here.
Keywords: dual task; association level; task; level attention ... See more keywords
Dilated residual networks with multi-level attention for speaker verification
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.079
Abstract: Abstract With the development of deep learning techniques, speaker verification (SV) systems based on deep neural network (DNN) achieve competitive performance compared with traditional i-vector-based works. Previous DNN-based SV methods usually employ time-delay neural network,… read more here.
Keywords: residual networks; speaker verification; level attention; dilated residual ... See more keywords
Exploring Multi-Level Attention and Semantic Relationship for Remote Sensing Image Captioning
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DOI: 10.1109/access.2019.2962195
Abstract: Remote sensing image captioning, which aims to understand high-level semantic information and interactions of different ground objects, is a new emerging research topic in recent years. Though image captioning has developed rapidly with convolutional neural… read more here.
Keywords: sensing image; image captioning; remote sensing; level attention ... See more keywords
MLAN: Multi-Level Attention Network
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DOI: 10.1109/access.2022.3210711
Abstract: In this paper, we proposed a “Multi-Level Attention Network” (MLAN), which defines a multi-level structure, including layer, block, and group levels to get hierarchical attention and combines corresponding residual information for better feature extraction. We… read more here.
Keywords: multi level; attention network; level attention; mlan ... See more keywords
Representation Learning with Multi-level Attention for Activity Trajectory Similarity Computation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3010022
Abstract: Massive trajectory data stem from the prevalence of equipment-supporting GPS and wireless communication technology. Especially, activity trajectory from LBSN endows traditional trajectory data with additional user semantic activities. Measuring the similarity between activity trajectories is… read more here.
Keywords: level attention; similarity; activity trajectory; activity ... See more keywords