Abstract: The agriculture industry is critical to delivering high-quality food and contributes significantly to the growth of economies and people which can be affected by the plant disease. This ...
A comprehensive, production-ready implementation of Graph Convolutional Networks with modern enhancements, evaluation frameworks, and interactive visualization tools. ├── src/ # Source code │ ├── ...
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 ...
Abstract: Object detection (OD) in unmanned aerial vehicle (UAV) images faces many challenges, with diverse-scale objects and small objects being particularly prominent issues. To alleviate these ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback