Learning Versatile Convolution Filters for Efficient Visual Recognition
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DOI: 10.1109/tpami.2021.3114368
Abstract: This paper introduces versatile filters to construct efficient convolutional neural networks that are widely used in various visual recognition tasks. Considering the demands of efficient deep learning techniques running on cost-effective hardware, a number of… read more here.
Keywords: versatile filters; convolution; learning versatile; neural networks ... See more keywords