To tackle this problem, in this paper, we propose a dual-stream encoder neural networks with spectral constraint framework for clustering the functional brain connectivity data. Specifically, we consider two different information while encoding the input data: (1) the information between the ...
et al. Mobilenets: Efficient convolutional neural networks for mobile vision applications[OL]. arXiv preprint: 1704.04861, 2017. [5] Radosavovic I, Kosaraju R. P, Girshick R, et al. Designing Network Design Spaces[C]. In...
deepneural networks, exposing limitations in their capabilities.In this work, we present a neural network model that ad-dresses the challengesposed byRaven’sProgressiveMatrices(RPM). Inspired by the two-stream hypothesis of visual pro-cessing, we introduce the Dual-stream Reasoning Network(DRNet)...
In this study, we propose a spatio-temporal 'dual-stream' neural network (ST-DSNN) to segment sequential whole-body PET scans. Our ST-DSNN learns and accumulates image features from the PET images done over time. The accumulated image features are used to enhance the organs / structures ...
To overcome error propagation, we propose a dual-stream mutual information contraction and re-discrimination network (DmrNet). Specifically, the traditional two-step strategy of temporal action detection has been changed to a four-step parallel strategy by us. Firstly, this paper designs the first-...
convolutional neural networktime domainfrequency domainwearable sensorsWith the increasing awareness of health, using wearable sensors to monitor individual activities and accurately estimate energy expenditure has become a current research focus. However, existing research encounters challenges including low ...
Htd-net: A deep convolutional neural network for target detection in hyperspectral imagery. Remote Sens- ing, 12(9):1489, 2020. [71] Lei Zhang, Wei Wei, Chengcheng Bai, Yifan Gao, and Yan- ning Zhang. Exploiting clustering manifold structure for hy- perspectral ...
First, to extract multiscale local-global features from multivariate time series data, we employ a DSE architecture comprising an Attention-Gated Recurrent Unit (AGRU) and a Dual-layer Multiscale Convolutional Neural Network (DMSCNN). Specifically, DMSCNN consists of a series of multi-scale ...
Intelligent 3D garment system of the human body based on deep spiking neural network dual-stream fusion network based on pulsed neural units to classify and recognize human movements,thereby achieving real-time interaction between users and ... M Jiang,Z Tian,YU Chenyu,... - 虚拟现实与智能硬件...
For example, deep neural networks fail at problems that involve enumerating the number of elements in an array, a problem that in humans relies on parietal cortex. Here, we build a 'dual-stream' neural network model which, equipped with both dorsal and ventral streams, can generalise its ...