2 citations · 4 across the 4 of their papers we have counts for
4 papers
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks
Qiying Pan, Ruofan Wu, Tengfei Liu +3
Federated training of Graph Neural Networks (GNN) has become popular in recent years due to its ability to perform graph-related tasks under data isolation scenarios while preservi…
End-to-end Remote Sensing Change Detection of Unregistered Bi-temporal Images for Natural Disasters
Guiqin Zhao, Lianlei Shan, Weiqiang Wang
Change detection based on remote sensing images has been a prominent area of interest in the field of remote sensing. Deep networks have demonstrated significant success in detecti…
Compositional Prototypical Networks for Few-Shot Classification
Qiang Lyu, Weiqiang Wang
It is assumed that pre-training provides the feature extractor with strong class transferability and that high novel class generalization can be achieved by simply reusing the tran…
Explore Faster Localization Learning For Scene Text Detection
Yuzhong Zhao, Yuanqiang Cai, Weijia Wu +1
Generally pre-training and long-time training computation are necessary for obtaining a good-performance text detector based on deep networks. In this paper, we present a new scene…