Transcription of Selective Kernel Networks - CVF Open Access
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Selective Kernel Networks - CVF Open Access
Selective Kernel NetworksXiang Li 1,2, Wenhai Wang 3,2, Xiaolin Hu 4and Jian Yang 11 PCALab, Nanjing University of Science and Technology2 Momenta3 Nanjing University4 Tsinghua UniversityAbstractIn standard Convolutional Neural Networks (CNNs), thereceptive fields of artificial neurons in each layer are de-signed to share the same size. It is well-known in the neu-roscience community that the receptive field size of visualcortical neurons are modulated by the stimulus, which hasbeen rarely considered in constructing CNNs. We proposea dynamic selection mechanism in CNNs that allows eachneuron to adaptively adjust its receptive field size basedon multiple scales of input information. A building blockcalled Selective Kernel (SK) unit is designed, in which mul-tiple branches with different Kernel sizes are fused usingsoftmax attention that is guided by the information in thesebranches.
Selective Kernel Networks Xiang Li∗1,2, Wenhai Wang†3,2, Xiaolin Hu‡4 and Jian Yang§1 1PCALab, Nanjing University of Science and Technology 2Momenta 3Nanjing University 4Tsinghua University Abstract In standard Convolutional Neural Networks (CNNs), the receptive fields of artificial neurons in each layer are de-
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