Transcription of Selective Kernel Networks
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Selective Kernel Networks
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. Different attentions on these branches yield dif-ferent sizes of the effective receptive fields of neurons inthe fusion layer.
The code and models are available at ... [14] have inspired the construc-tion of Convolutional Neural Networks (CNNs) [26] in the last century, and it continuesto inspiremordern CNNstruc-ture construction. For instance, it is well-known that in the ... tion with offsets. These offsets are learned end-to-end but
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