Search Results for author: Xiaobing Kang

Found 3 papers, 1 papers with code

Deep graph learning for semi-supervised classification

no code implementations29 May 2020 Guangfeng Lin, Xiaobing Kang, Kaiyang Liao, Fan Zhao, Yajun Chen

Existing methods mostly combine the computational layer and the related losses into GCN for exploring the global graph(measuring graph structure from all data samples) or local graph (measuring graph structure from local data samples).

General Classification Graph Learning

High-order structure preserving graph neural network for few-shot learning

1 code implementation29 May 2020 Guangfeng Lin, Ying Yang, Yindi Fan, Xiaobing Kang, Kaiyang Liao, Fan Zhao

Most existing methods try to model the similarity relationship of the samples in the intra tasks, and generalize the model to identify the new categories.

Few-Shot Learning

Transfer feature generating networks with semantic classes structure for zero-shot learning

no code implementations6 Mar 2019 Guangfeng Lin, Wanjun Chen, Kaiyang Liao, Xiaobing Kang, Caixia Fan

To alleviate the negative influence of this inconsistence for ZSL and GZSL, transfer feature generating networks with semantic classes structure (TFGNSCS) is proposed to construct networks model for improving the performance of ZSL and GZSL.

General Classification Zero-Shot Learning

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