Results 21 to 30 of about 3,121,297 (329)
Multiple-Attention Mechanism Network for Semantic Segmentation
Sensors, 2022 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
doaj +1 more source
Contextual Attention for Hand Detection in the Wild [PDF]
, 2019 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
core +1 more source
IDS-attention: an efficient algorithm for intrusion detection systems using attention mechanism
Journal of Big Data, 2021 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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Keyphrase Generation Based on Deep Seq2seq Model
IEEE Access, 2018 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
doaj +1 more source
Attention: the mechanisms of consciousness. [PDF]
Proceedings of the National Academy of Sciences, 1994 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
openaire +2 more sources
Attentional Colorization Networks with Adaptive Group-Instance Normalization
Information, 2020 We propose a novel end-to-end image colorization framework which integrates attention mechanism and a learnable adaptive normalization function. In contrast to previous colorization methods that directly generate the whole image, we believe that the ...
Yuzhen Gao +3 more
doaj +1 more source
A power equipment monitoring system based on SE-Attention image recognition model
Xi'an Gongcheng Daxue xuebao, 2021 The current power equipment monitoring is mainly based on the traditional classical neural network automatic monitoring mode, which has such problems as low accuracy and difficulty to dig out the deep information of the image, a power equipment ...
Qiyuan HE +6 more
doaj +1 more source
Speech Emotion Recognition Using Multi-hop Attention Mechanism
, 2019 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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Collaborative Fusion Attention Mechanism for Vehicle Fault Prediction
Future InternetIn this study, we investigate a deep learning-based vehicle fault prediction model aimed at achieving accurate prediction of vehicle faults by analyzing the correlations among different faults and the impact of critical faults on future fault development.
Hong Jia +3 more
doaj +1 more source
Pixel Self-Attention Guided Real-Time Instance Segmentation for Group Raised Pigs
Animals, 2023 Instance segmentation is crucial to modern agriculture and the management of pig farms. In practical farming environments, challenges arise due to the mutual adhesion, occlusion, and dynamic changes in body posture among pigs, making accurate ...
Zongwei Jia +5 more
doaj +1 more source