Fast Sparse ConvNets

CVPR 2020 Erich ElsenMarat DukhanTrevor GaleKaren Simonyan

Historically, the pursuit of efficient inference has been one of the driving forces behind research into new deep learning architectures and building blocks. Some recent examples include: the squeeze-and-excitation module, depthwise separable convolutions in Xception, and the inverted bottleneck in MobileNet v2... (read more)

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