Results 31 to 40 of about 3,136,925 (183)
Anaphora Resolution Algorithm Based on Multilayer Attention Mechanism [PDF]
In the information extraction process,the nondeterministic anaphora can cause incomplete information extraction.By analyzing the only discriminate information generated by the anaphoric part,the referenced part,the surrounding information,the referenced ...
LIU Yujiang, FU Lijun, LIU Junming, Lü Pengfei
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Keyphrase Generation Based on Deep Seq2seq Model
Keyphrase can provide highly summative information which can help us improve information utilization efficiency in the era of information overload. Though previous researches about keyphrase generation have provided some workable solutions, they generate
Yong Zhang, Weidong Xiao
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Multiple-Attention Mechanism Network for Semantic Segmentation
Contextual information and the dependencies between dimensions is vital in image semantic segmentation. In this paper, we propose a multiple-attention mechanism network (MANet) for semantic segmentation in a very effective and efficient way.
Dongli Wang +5 more
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IDS-attention: an efficient algorithm for intrusion detection systems using attention mechanism
Network attacks are illegal activities on digital resources within an organizational network with the express intention of compromising systems. A cyber attack can be directed by individuals, communities, states or even from an anonymous source.
FatimaEzzahra Laghrissi +3 more
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Attention: the mechanisms of consciousness. [PDF]
A number of recent papers and books discuss theoretical efforts toward a scientific understanding of consciousness. Progress in imaging networks of brain areas active when people perform simple tasks may provide a useful empirical background for distinguishing conscious and unconscious information processing. Attentional networks include those involved
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Contextual Attention for Hand Detection in the Wild [PDF]
We present Hand-CNN, a novel convolutional network architecture for detecting hand masks and predicting hand orientations in unconstrained images. Hand-CNN extends MaskRCNN with a novel attention mechanism to incorporate contextual cues in the detection ...
Hoai, Minh +4 more
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Research on detection method of unsound brewing sorghum kernel based on deep learning [PDF]
In order to overcome the problems of low efficiency, low accuracy and poor repeatability existing in the quality detection of unsound sorghum kernel in the brewing industry, a novel method based on deep learning for unsound sorghum kernel determination ...
WANG Lin, CHU Yihong, OU Jinhua, YIN Guanjun, JIANG Yuanhong, CHEN Bo, SHEN Chuan, LI Yongmeng
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Speech Emotion Recognition Using Multi-hop Attention Mechanism
In this paper, we are interested in exploiting textual and acoustic data of an utterance for the speech emotion classification task. The baseline approach models the information from audio and text independently using two deep neural networks (DNNs). The
Byun, Seokhyun +3 more
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Neural mechanisms of object-based attention [PDF]
House or Face? The neural mechanisms of spatial attention are well known, unlike nonspatial attention. Baldauf and Desimone (p. 424 , published online 10 April) combined several technologies to identify a fronto-temporal network in humans that mediates nonspatial object-based ...
Baldauf, Daniel, Desimone, Robert
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Fooling Vision and Language Models Despite Localization and Attention Mechanism
Adversarial attacks are known to succeed on classifiers, but it has been an open question whether more complex vision systems are vulnerable. In this paper, we study adversarial examples for vision and language models, which incorporate natural language ...
Chen, Xinyun +5 more
core +1 more source

