IMAGE CLASSIFICATION METHOD AND APPARATUS, AND DATA PROCESSING METHOD AND APPARATUS

WIPO Patent Application WO/2020/216227

A1

Provided in the present application are an image classification method and apparatus, which relate to the field of artificial intelligence, and specifically relate to the field of computing vision. The image classification method comprises: acquiring a convolution kernel parameter of a reference convolution kernel of a neural network and a mask tensor of the neural network, and performing a Hadamard product operation on the reference convolution kernel of the neural network and the mask tensor corresponding to the reference convolution kernel to obtain a plurality of sub-convolution kernels; and according to the plurality of sub-convolution kernels, performing convolution processing on an image to be processed, and according to a convolution feature map finally obtained from convolution, classifying the image to be processed to obtain a classification result of the image to be processed. Due to the fact that the mask tensor occupies a smaller storage space relative to the convolution kernel, some devices with limited storage resources can also deploy a neural network including the reference convolution kernel and the mask tensor, such that image classification is realized.

HAN KAI (CN)
WANG YUNHE (CN)
XU CHUNJING (CN)

PCT/CN2020/086015

October 29, 2020

April 22, 2020

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HUAWEI TECH CO LTD (CN)

G06N3/04

CN110188795A	2019-08-30
CN106127297A	2016-11-16
CN104517103A	2015-04-15
CN108701236A	2018-10-23
US9202144B2	2015-12-01

LONGSUN LEAD IP LTD. (CN)

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