Patent ID: 11972604
Assignee: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 1:
2. The image feature visualization method of claim 1, wherein the mapper comprises an encoder and a decoder, and the step of inputting the real training data with positive samples into the mapping generator that is to be trained to obtain the fictitious training data with negative samples output by the mapping generator that is to be trained comprises:
compressing the real training data with positive samples into a feature vector through a convolution operation of the encoder;
decoding the feature vector through the decoder to obtain the key feature map that distinguishes the real training data with positive samples and the real training data with negative sample;
generating the fictitious training data with negative samples based on the key feature map and the real training data with positive samples; and
outputting the fictitious training data with negative samples.