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Hybrid channel attention network for auditory attention detection [PDF]
Scientific ReportsHumans exhibit a remarkable ability to selectively focus on auditory stimuli in multi-speaker environments, such as cocktail parties. The Auditory Attention Detection (AAD) method aims to identify the conversation that a listener is attending to through ...
Yahao Wen +3 more
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Channel-Attention U-Net: Channel Attention Mechanism for Semantic Segmentation of Esophagus and Esophageal Cancer [PDF]
IEEE Access, 2020 The effective segmentation of esophagus and esophageal cancer from Computed Tomography (CT) images can meaningfully assist doctors in the diagnosis and treatment of esophageal cancer patients.
Guoheng Huang +7 more
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Multibranch Attention Mechanism Based on Channel and Spatial Attention Fusion
Mathematics, 2022 Recently, it has been demonstrated that the performance of an object detection network can be improved by embedding an attention module into it. In this work, we propose a lightweight and effective attention mechanism named multibranch attention (M3Att).
Guojun Mao +3 more
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Object Tracking Based on Channel Attention [PDF]
IEEE Access, 2020 Object tracking is one of the important research topics in computer vision. Despite the great progress in this area, effectively and efficiently tracking object in videos still remains challenging especially in scenarios of rapid movement of objects ...
Zhiquan He, Xuejun Chen
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Channel Attention Networks for Image Translation [PDF]
IEEE Access, 2019 Existing image-to-image translation methods usually adopt an encoder-decoder structure to generate images. The encoder extracts the features of input images using a sequence of convolution layers until a bottleneck, and then, the intermediate features ...
Song Sun +4 more
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EMCA: Efficient Multiscale Channel Attention Module
IEEE Access, 2022 Attention mechanisms have been explored with CNNs across the spatial and channel dimensions. However, all the existing methods devote the attention modules to capture local interactions from a uni-scale. This paper tackles the following question: can one
Eslam Mohamed Bakr +2 more
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Heart Sound Classification Based on Multi-Scale Feature Fusion and Channel Attention Module [PDF]
BioengineeringIntelligent heart sound diagnosis based on Convolutional Neural Networks (CNN) has been attracting increasing attention due to its accuracy and efficiency, which have been improved by recent studies.
Mingzhe Li, Zhaoming He, Hao Wang
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Auditory attention detection with EEG channel attention [PDF]
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021 AbstractAuditory attention detection (AAD) seeks to detect the attended speech from EEG signals in a multi-talker scenario, i.e. cocktail party. As the EEG channels reflect the activities of different brain areas, a task-oriented channel selection technique improves the performance of brain-computer interface applications.
Enze Su +4 more
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FcaNet: Frequency Channel Attention Networks [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 ICCV2021
Qin, Zequn +3 more
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Attentional Sampling between Eye Channels
Journal of Cognitive Neuroscience, 2023 Abstract Our ability to detect targets in the environment fluctuates in time. When individuals focus attention on a single location, the ongoing temporal structure of performance fluctuates at 8 Hz. When task demands require the distribution of attention over two objects defined by their location, color or motion direction, ongoing ...
Daniele, Re +2 more
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