Multi-modal data label model training method and device and electronic equipment

The invention provides a multi-modal data label model training method and device and electronic equipment, and the method comprises the steps: constructing a to-be-trained candidate multi-modal data label model, and obtaining a multi-modal training sample; performing feature extraction and resamplin...

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Hauptverfasser: FANG JUN, WANG LI, LIU PENGZHANG, ZHANG LEZHONG, GAO TIANHAO, BAO YONGJUN, LIU CHAO, LIU HANYU, CHEN CHAOFAN
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creator FANG JUN
WANG LI
LIU PENGZHANG
ZHANG LEZHONG
GAO TIANHAO
BAO YONGJUN
LIU CHAO
LIU HANYU
CHEN CHAOFAN
description The invention provides a multi-modal data label model training method and device and electronic equipment, and the method comprises the steps: constructing a to-be-trained candidate multi-modal data label model, and obtaining a multi-modal training sample; performing feature extraction and resampling on the multi-modal training sample to obtain a multi-modal splicing feature of the multi-modal training sample; obtaining a candidate multi-modal fusion prompt vector and a candidate label prompt vector corresponding to the multi-modal training sample; and obtaining a training loss set of the candidate multi-modal data label model based on the candidate multi-modal fusion prompt vector, the candidate label prompt vector and the multi-modal splicing feature, so as to carry out model training on the candidate multi-modal data label model until the training is finished, and obtaining a trained target multi-modal data label model. The stability of the candidate multi-modal data label model is improved, the noise filt
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Multi-modal data label model training method and device and electronic equipment
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