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Training method and device of face age prediction model, model training method and device and electronic equipment
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A predictive model and predictive network technology, applied in the field of computer recognition, can solve problems such as poor generalization ability of face age prediction models
Pending Publication Date: 2020-05-05
BEIJING KINGSOFT CLOUD NETWORK TECH CO LTD +1
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However, since the face images of different genders have different age patterns in samples of the same age, the generalization ability of the trained face age prediction model is relatively poor.
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no. 1 example
[0096]
[0097] This embodiment provides a method for training a human face age prediction model, which can be implemented, for example, by an electronic device, and the electronic device can be as figure 1 Electronic device 1000 is shown.
[0098] Such as figure 2 As shown, in this embodiment, the network architecture of the face age prediction model Net may include a shared network, a gender classification network, a male face age prediction network, a female face age prediction network, and a result fusion network. Firstly, the gender of the input facial image is judged by the gender classification network, the male face age prediction network and the female face age prediction network respectively predict the age of the face image, and finally, the result fusion network combines the gender classification network, The output results of the male face age prediction network and the female face age prediction network are fused to obtain the final face age prediction result...
no. 2 example
[0159]
[0160] This embodiment provides a face age prediction method, which uses the face age prediction model trained in the above embodiment to predict the face age of the image to be predicted.
[0161] Specifically, such as Figure 6 As shown, the method includes the following steps 6100 to 6200:
[0162] Step 6100, acquire the image to be predicted.
[0163] Wherein, the image to be predicted may specifically be a face image.
[0164] Step 6200, input the image to be predicted into the human face age prediction model, and output the prediction result.
[0165] Wherein, the face age prediction model includes a shared network, a gender classification network, a male face age prediction network, a female face age prediction network and a result fusion network; the shared network is used for feature extraction of the image to be predicted, and outputs Image features; the gender classification network is used to identify the gender of the image to be predicted according ...
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Abstract
The embodiment of the invention provides a training method and device of a face age prediction model and electronic equipment. The method comprises the steps of obtaining a training sample set and a preset initial model; training the shared network and the gender classification network by using the training sample set until the first parameter of the shared network and the second parameter of thegender classification network converge; training a convergent shared network and a male face age prediction network by using the male set until a third parameter of the male face age prediction network converges; training a converged shared network and a female face age prediction network by utilizing the female set until a fourth parameter of the female face age prediction network is converged; and obtaining a face age prediction model according to the convergent shared network, the convergent gender classification network, the convergent male face age prediction network, the convergent female face age prediction network and a result fusion network. According to the embodiment of the invention, the interference of gender factors on the face age prediction task can be eliminated.
Description
technical field [0001] The present invention relates to the technical field of computer recognition, and more specifically, to a training method for a face age prediction model, a face age prediction method, a face age prediction model training device, and a face age prediction device and an electronic device. Background technique [0002] As an important face attribute, age has broad application prospects in the fields of human-computer interaction, intelligent business, security monitoring, and entertainment. Automatic face age prediction technology is an important biometric identification technology, which uses computer vision and other technologies to automatically predict the real age of a face based on the input face image. [0003] The existing face age prediction algorithms based on deep learning usually directly train a convolutional neural network to establish a mapping between the input face image and age, so as to achieve higher precision face age prediction. H...
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