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：US20210049782A1

公开(公告)日：2021-02-18

申请号：US16540029

申请日：2019-08-13

Applicant: WUYI UNIVERSITY

Inventor： Yikui ZHAI ,  Qirui KE ,  Junying GAN ,  Wenbo DENG ,  Ying XU ,  Junying ZENG ,  Zilu YING ,  Wenlue ZHOU ,  Yihang ZHI ,  Xi WU

IPC: G06T7/60 ,  G06T7/136 ,  G06K9/62

Abstract: A method and system for mobile communication base station antenna measurement is disclosed. The method comprises steps of: acquiring a set of images containing antennas of a base station; processing the set of images with a model based on instance segmentation network, and generating visualized images corresponding to the set of images of antennas; calculating, from the visualized images, the quantity of antennas of the base station and separating data for each antenna; measuring parameters of each antenna by data fitting. The system comprises a processor and a memory storing program instructions thereon, the program instructions executable by the processor to cause the system to perform the steps of the method.

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：US20210097681A1

公开(公告)日：2021-04-01

申请号：US16831239

申请日：2020-03-26

Applicant: Wuyi University

Inventor： Junying ZENG ,  Fan WANG ,  Chuanbo QIN ,  Boyuan ZHU ,  Jingming ZHU ,  Yikui ZHAI ,  Junying GAN

IPC: G06T7/00 ,  G06N3/08 ,  G06N3/04 ,  G06T5/50

Abstract: Disclosed is a method for vein recognition, the method includes: performing difference operation and channel connection on two to-be-verified target vein images respectively to obtain a difference image and a two-channel image of the two target vein images; performing channel connection on the obtained difference image and two-channel image to obtain a three-channel image, so as to use the three-channel image as an input of a CNN network; fine-tuning a pre-trained model SqueezeNet that completes training on an ImageNet; integrating the difference image and the three-channel image through a cascade optimization framework to obtain a recognition result; regarding a pair of to-be-verified images as a sample, transforming the sample, taking the transformed sample as the input of the CNN network, obtaining a recognition result by supervised training on the network, which solve the problem of less training data and improve the accuracy of recognition with a small network storage capacity.

公开(公告)号：US20220092297A1

公开(公告)日：2022-03-24

申请号：US17424409

申请日：2020-08-31

Applicant: Wuyi University

Inventor： Junying GAN ,  Li XIANG ,  Yikui ZHAI ,  Chaoyun MAI ,  Junying ZENG ,  Zilu YING

IPC: G06K9/00 ,  G06K9/62

Abstract: Disclosed are a facial beauty prediction method and device based on multi-task migration. The method includes: performing similarity measurement based on a graph structure on a plurality of tasks to obtain an optimal combination of the plurality of tasks; constructing a facial beauty prediction model including a feature sharing layer based on the optimal combination; migrating feature parameters of an existing large-scale facial image network to the feature sharing layer of the facial beauty prediction model; inputting facial images for training to pre-train the facial beauty prediction model; and inputting a facial image to be tested to the trained facial beauty prediction model to obtain facial recognition results.

公开(公告)号：US20210224512A1

公开(公告)日：2021-07-22

申请号：US16995239

申请日：2020-08-17

Applicant: Wuyi University

Inventor： Yikui ZHAI ,  Yihang ZHI ,  Qirui KE ,  Cuilin YU ,  Wenlve ZHOU ,  Zilu YING ,  Junying GAN ,  Junying ZENG ,  Yanyang LIANG ,  Chaoyun MAI ,  Chuanbo QIN ,  Ying XU

IPC: G06K9/00 ,  H04N5/232 ,  G06K9/46 ,  G06K9/62 ,  G05D1/00 ,  G05D1/10

Abstract: A double attention network (DANet)-based drone patrol and inspection system for coastline floating garbage, including: an image acquisition module configured to shoot a video of a coastline in need of patrol and inspection by using a drone, and obtain an image from the video; a feature extraction module configured to extract shallow features and deep features, fuse the shallow features and the deep features to obtain a shared feature, and finally output a panoramic recognition result; a network training module configured to perform training on the labeled image so that the network can recognize the coastline and floating garbage; and a path correction module configured to adjust a flying direction of the drone.

公开(公告)号：US20210056722A1

公开(公告)日：2021-02-25

申请号：US16966604

申请日：2019-03-01

Applicant: Wuyi University

Inventor： Yueting WU ,  Yikui ZHAI ,  Yu ZHENG ,  Jihua ZHOU ,  Tianlei WANG ,  Ying XU ,  Junying GAN ,  Wenbo DENG ,  Qirui KE

IPC: G06T7/73 ,  H04W16/28 ,  G06T7/194 ,  G06T7/11 ,  G06N20/00

Abstract: A method for measuring an antenna downtilt angle based on a deep instance segmentation network is disclosed, including: shooting an omni-directional antenna video using a drone; and transmitting the antenna video to a server in real time, and the server measuring an antenna downtilt angle in real time using a deep learning algorithm, the deep learning algorithm includes: a feature extraction network module for acquiring an antenna feature image; an instance segmentation module for binary segmentation of an antenna image and the background to distinguish antenna image pixels from background pixels; an antenna candidate box module for identifying and detecting the antenna image, acquiring an antenna candidate box and determining an antenna calibration box therefrom; and an antenna downtilt angle measuring module for measuring an antenna downtilt angle.

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.

公开(公告)号：US20210215481A1

公开(公告)日：2021-07-15

申请号：US16652346

申请日：2019-03-01

Applicant: Wuyi University

Inventor： Yikui ZHAI ,  Jihua ZHOU ,  Yueting WU ,  Yu ZHENG ,  Ying XU ,  Junying GAN ,  Junying ZENG ,  Wenbo DENG ,  Qirui KE

IPC: G01B21/22 ,  G06T7/73 ,  G06N3/04 ,  G06T7/11

Abstract: A method for measuring an antenna downtilt angle based on a multi-scale deep semantic segmentation network is disclosed, including: collecting base station antenna data by using an unmanned aerial vehicle, and labeling an acquired antenna image with a labeling tool to make a data set; calling the data set for training and debugging a model; recognizing and detecting a target antenna, performing semantic segmentation on an output image, finally obtaining a target image finally segmented, and calculating a downtilt angle of the target image. The method is highly applicable, cost-effective, and safe.