When Residual Learning Meets Dense Aggregation: Rethinking the Aggregation of Deep Neural Networks

19 Apr 2020Zhiyu ZhuZhen-Peng BianJunhui HouYi WangLap-Pui Chau

Various architectures (such as GoogLeNets, ResNets, and DenseNets) have been proposed. However, the existing networks usually suffer from either redundancy of convolutional layers or insufficient utilization of parameters... (read more)

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