Method, device and equipment for training text graph model and medium
The invention provides a text graph model training method and device, equipment and a medium. The method comprises the following steps: acquiring a plurality of fine-grained labels of a to-be-processed image; inputting the to-be-processed image and the plurality of fine-grained labels into a first p...
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| creator | CHEN YUFEI SHANG WENXIANG XU LIWU LIN RAN MENG CHUANG |
| description | The invention provides a text graph model training method and device, equipment and a medium. The method comprises the following steps: acquiring a plurality of fine-grained labels of a to-be-processed image; inputting the to-be-processed image and the plurality of fine-grained labels into a first pre-training model to obtain an image description, which refers to REC (Registered Establishment) and RES (Registered Segmentation); inputting the plurality of fine-grained labels, the image description, the REC and the RES into a second pre-training model to obtain a description text; and generating a training sample according to the description text and the to-be-processed image, wherein the training sample is used for training a text graph model. By combining a plurality of fine-grained labels, image description, REC and RES, image-level, local and pixel-level understanding is provided for the model, and the understanding of the model on the spatial relationship between objects and the relationship between the ob |
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| language | chi ; eng |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
| title | Method, device and equipment for training text graph model and medium |
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