公开(公告)号：US20220309770A1

公开(公告)日：2022-09-29

申请号：US17424403

申请日：2020-07-24

Applicant: Wuyi University

Inventor： Junying GAN ,  Bicheng WU ,  Yikui ZHAI ,  Guohui HE

IPC: G06V10/776 ,  G06V40/16 ,  G06V10/774 ,  G06V10/40 ,  G06V10/764 ,  G06V20/70 ,  G06V10/94 ,  G06V10/778

Abstract: A multi-dimensional task facial beauty prediction method and system, and a storage medium are disclosed. The method includes the steps of: at a training phase, using first facial images to optimize a shared feature extraction network for extracting shared features and to train a plurality of sub-task networks for performing facial beauty classification tasks; at a testing phase, extracting shared features of second facial images; inputting the shared features to the trained plurality of sub-task networks; and obtaining a first beauty prediction result based on first output results of the plurality of sub-task networks.

公开(公告)号：US20240395019A1

公开(公告)日：2024-11-28

申请号：US18696704

申请日：2023-02-28

Applicant: WUYI UNIVERSITY

Inventor： Junying GAN ,  Xiaoshan XIE ,  Guohui HE

IPC: G06V10/764 ,  G06V10/80 ,  G06V10/82 ,  G06V40/16

Abstract: An array-type facial beauty prediction method, a device and a storage medium are disclosed. The method includes: extracting a plurality of facial beauty features of different scales from a face image by means of a plurality of feature extractors; performing array-type fusion on the plurality of facial beauty features of different scales to obtain a plurality of fused features; performing binary classification processing on the plurality of fused features multiple times by means of a facial beauty classification network to obtain a plurality of classification results, where the facial beauty classification network is obtained by means of supervised training using a cost-sensitive loss function, and the cost-sensitive loss function is a loss function that is set according to cost-sensitive training labels; and making a decision on the basis of the plurality of classification results to obtain a facial beauty prediction result.

公开(公告)号：US20220309828A1

公开(公告)日：2022-09-29

申请号：US17424407

申请日：2020-07-24

Applicant: Wuyi University

Inventor： Junying GAN ,  Zhenfeng BAI ,  Yikui ZHAI ,  Guohui HE

IPC: G06V40/16 ,  G06V10/22 ,  G06V10/70

Abstract: A beauty prediction method and device based on multitasking and weak supervision, and a storage medium are disclosed. The method includes the steps of pre-processing inputted facial images; allocating the pre-processed images to multiple tasks; extracting shared image features; and obtaining a plurality of classification results via a plurality of classification networks each including a residual network, a standard neural network and a classifier.

公开(公告)号：US20220309768A1

公开(公告)日：2022-09-29

申请号：US17414196

申请日：2020-07-24

Applicant: Wuyi University

Inventor： Junying GAN ,  Zhenfeng BAI ,  Yikui ZHAI ,  Guohui HE

IPC: G06V10/774 ,  G06V10/82 ,  G06V40/16 ,  G06V10/20 ,  G06V10/80

Abstract: Disclosed are a method and device for predicting face beauty based on migration and weak supervision and a storage medium. The method includes: preprocessing an inputted face image; training a source domain network by using the preprocessed image, and migrating a parameter of the source domain network to a target domain network; inputting a noise image marked with a noise label and a truth-value image marked with a truth-value label into the target domain network to obtain an image feature; and inputting the image feature into a classification network to obtain a final face beauty prediction result.