Multi-scale neural networkGramian Angular Field (GAF)Spatial attentionFeature fusionFault diagnosisAs one of the three major outdoor components of the railroad signal system, the track circuit plays an important role in ensuring the safety and efficiency of train operation. Therefore, when a fault ...
The problem involves agents collaborating to track moving targets in chaotic dynamic systems by communicating. Inspired by the multi-scale hierarchical time-stepper (HiTS), a novel Distributed Prediction Network based on Multi-scale Attention (DPNMA) is proposed to fuse predictions from agents at ...
we use the ResNet-5026as backbone of our framework to extract the multilevel features for both template and search regions. Second, we design a spatial attention extraction (SAE) block
networks to train the model. In the experiment, the polarity score was quantified at four different levels: word, sentence, paragraph, and the entire text using Latent Dirichlet Allocation (LDA). Using subjective data mining, we demonstrate how to extract, summarize, and track various aspects of...
With the advancement of modern science and technology, large scientific facilities are increasingly oriented toward demand and application, and can be used for basic research as well as serving multiple disciplines. Developing large scientific facilities
network for infrared and visible images is proposed (MPCFusion). To exploit deeper texture details, a feature extraction module based on convolution and vision Transformer is designed. With a view to correlating the shallow features between different modalities, a parallel cross-attention module is ...
Multi-scale Deep Learning for Gesture Detection and…Multi-scaledeep learning gesturedetection localization1,2 Natalia Neverova 1,2 Christian Wolf FlorianNebout Universitede Lyon, CNRS, France firstname.surname@liris.cnrs.fr INSA-Lyon,LIRIS, UMR5205, F-69621 Guelph,Canada gwtaylor@uoguelph.ca Awa...
Bastos, A. et al. Canonical microcircuits for predictive coding.Neuron76, 695–711 (2012). ArticleCASPubMedPubMed CentralGoogle Scholar Pomper, U., Keil, J., Foxe, J. J. & Senkowski, D. Intersensory selective attention and temporal orienting operate in parallel and are instantiated in spat...
We introduce the multi-scale deformable attention (MDA) mechanism for feature enhancement. Considering that there is no position information in the multi-level feature output of backbone network, we generate multi-level position embedding (mPE) by combining sinusoidal position embedding and hierarchical ...
Ship detection based on remote-sensing images is an important part of ocean monitoring, and is thus attracting increasing attention. Synthetic aperture radar (SAR) images used to be the main data source for ship detection because SAR can work day and night, and it can also resist interference ...