CPC G06N 20/00 (2019.01) [G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/24 (2023.01); G06F 18/251 (2023.01); G06N 5/04 (2013.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 10/84 (2022.01)] | 20 Claims |
1. A model training method, comprising:
acquiring target image data for learning a target task, and source image data for learning a preset task;
determining auxiliary image data in the source image data according to the target image data;
determining a to-be-trained model according to a trained preset model corresponding to the preset task and a preset classification network;
determining fused image data according to the target image data and the auxiliary image data, and
training the to-be-trained model with the fused image data, to obtain a target model for executing the target task.
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