Model training method and device, image feature extraction method and device and electronic equipment
The invention provides a model training method and device, an image feature extraction method and device and electronic equipment, and the model training method comprises the steps: carrying out the first-stage training of a to-be-trained model through employing training data, obtaining a first-stag...
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Format | Patent |
Language | Chinese English |
Published |
12.06.2020
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Abstract | The invention provides a model training method and device, an image feature extraction method and device and electronic equipment, and the model training method comprises the steps: carrying out the first-stage training of a to-be-trained model through employing training data, obtaining a first-stage model, and employing a first loss function as a supervision signal in the first-stage training; performing second-stage training on the first-stage model by using the training data to obtain a second-stage model, the second-stage training using the first loss function and a second loss function assupervision signals, the training data being an image data set; and third-stage training is carried out on the second-stage model by using the training data to obtain a target model, and a second loss function is used as a supervision signal in the third-stage training. The target model obtained by training in the three stages can better classify the image features.
本申请提供了一种模型训练方法、图像特征提取方法、装置及电子设备,其中,所述模型训练方法包括:使用训练数据对待训 |
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AbstractList | The invention provides a model training method and device, an image feature extraction method and device and electronic equipment, and the model training method comprises the steps: carrying out the first-stage training of a to-be-trained model through employing training data, obtaining a first-stage model, and employing a first loss function as a supervision signal in the first-stage training; performing second-stage training on the first-stage model by using the training data to obtain a second-stage model, the second-stage training using the first loss function and a second loss function assupervision signals, the training data being an image data set; and third-stage training is carried out on the second-stage model by using the training data to obtain a target model, and a second loss function is used as a supervision signal in the third-stage training. The target model obtained by training in the three stages can better classify the image features.
本申请提供了一种模型训练方法、图像特征提取方法、装置及电子设备,其中,所述模型训练方法包括:使用训练数据对待训 |
Author | SHEN HAIFENG GAN CHUNSHENG ZHAO YUAN |
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DocumentTitleAlternate | 模型训练方法、图像特征提取方法、装置及电子设备 |
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Snippet | The invention provides a model training method and device, an image feature extraction method and device and electronic equipment, and the model training... |
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Title | Model training method and device, image feature extraction method and device and electronic equipment |
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