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双通道神经网络模型AD-Net工作被IEEE TNNLS发表
发布者: 洪晓鹏 | 2020-11-29

受快-慢双通路认知模型的启发,我们提出了双通道神经网络模型。该工作《Analogy-Detail Networks for Object Recognition》近日已被IEEE Transactions on Neural Networks and Learning Systems 发表,原文链接点这里

 

引用信息:

 

X. Tao, X. Hong, W. Shi, X. Chang and Y. Gong, "Analogy-Detail Networks for Object Recognition," in IEEE Transactions on Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2020.3017692.
 

Bibtex:

@ARTICLE{9265452,
  author={X. {Tao} and X. {Hong} and W. {Shi} and X. {Chang} and Y. {Gong}},
  journal={IEEE Transactions on Neural Networks and Learning Systems}, 
  title={Analogy-Detail Networks for Object Recognition}, 
  year={2020},
  volume={},
  number={},
  pages={1-15},
  doi={10.1109/TNNLS.2020.3017692}}