| CPC G06V 10/811 (2022.01) [G06V 10/82 (2022.01)] | 19 Claims |

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1. A classification and prediction method performed by a computer device, comprising:
acquiring at least two pieces of data for a specified classification task, wherein
the at least two pieces of data correspond to at least two modalities, and
each piece of data corresponds to one modality;
acquiring a confidence corresponding to each of the at least two modalities, wherein
the confidence indicates a classification and prediction probability of the modality in the specified classification task;
performing weighted fusion on data features of the at least two pieces of data based on the confidence corresponding to each of the at least two modalities to obtain a fused feature; and
performing prediction according to the fused feature to obtain a classification and prediction result corresponding to the specified classification task.
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