AlphaGalileo

Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data

DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
IEEE

Multilabel Concrete Bridge Damage Classification Using Graph Convolution

Abstract: In recent years, the evolution of convolutional neural networks (CNNs) has paved the way for the development of deep-learning-based visual inspection techniques to identify damages in ...
IEEE

Knowledge Graph-Guided Deep Network for Hyperspectral Remote Sensing Image Classification

Abstract: For the classification of hyperspectral images (HSIs), most deep learning networks are data-driven and lack the usage of prior knowledge. In this letter, we propose a knowledge graph-guided ...
Frontiers

Field experimental study on stratum classification of marine engineering based on cone penetration test

1 Northwest Engineering Corporation Limited, Xi’an, China 2 Zhengzhou University of Aeronautics College of Civil Engineering and Environment, Zhengzhou, China This study focuses on the intertidal wind ...
GitHub

Swin-chart: An efficient approach for chart classification

Swin-Chart is a Swin Transformer-based model for chart classification across various datasets. It achieved first place in the chart classification task at the ICDAR 2023 CHART Infographics competition ...