| CPC G06F 16/9032 (2019.01) [G06F 16/9017 (2019.01)] | 20 Claims |

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1. A method for data query, comprising:
selecting, according to a type of input data, a target pre-trained model from a deep network pool comprising a plurality of pre-trained models;
performing, by using the selected target pre-trained model, feature extraction on the input data to determine text descriptors for the input data; and
generating, based on the text descriptors, a query table for query.
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