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

Claim 9:
10. The electronic device of claim 7, wherein the step of performing weighted calculation on the feature tensor of the training data with negative samples through the second-order pooling layer to obtain the weighted feature tensor of the training data with negative samples comprises:
performing channel dimensionality reduction on the feature tensor of the training data with negative samples;
calculating covariance information between any two channels in the feature tensor after the channel dimension reduction to obtain a covariance matrix;
performing grouping convolution and 1×1×1 convolution calculation on the covariance matrix to obtain a weight vector, wherein the number of channels of the weight vector is the same as the number of channels of the feature tensor of the training data with negative samples; and
calculating an inner product of the weight vector and the feature tensor of the training data with negative samples to obtain the weighted feature tensor of the training data with negative samples.