Patents by Inventor Ying Xin

Ying Xin has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11921276
    Abstract: Provided are a method and apparatus for evaluating image relative definition, a device and a medium, relating to technologies such as computer vision, deep learning and intelligent medical. A specific implementation solution is: extracting a multi-scale feature of each image in an image set, where the multi-scale feature is used for representing definition features of objects having different sizes in an image; and scoring relative definition of each image in the image set according to the multi-scale feature by using a relative definition scoring model pre-trained, where the purpose for training the relative definition scoring model is to learn a feature related to image definition in the multi-scale feature.
    Type: Grant
    Filed: July 19, 2021
    Date of Patent: March 5, 2024
    Assignee: Beijing Baidu Netcom Science and Technology Co., Ltd.
    Inventors: Xiang Long, Yan Peng, Shufei Lin, Ying Xin, Bin Zhang, Pengcheng Yuan, Xiaodi Wang, Yuan Feng, Shumin Han
  • Publication number: 20240036803
    Abstract: A screen projection method includes: in response to receiving a screen projection instruction triggered by a user, determining a virtual screen to be projected according to a target interface displayed by a target screen of the electronic device; projecting the virtual screen to a target screen projecting device; and, in response to receiving a first control switching instruction triggered by the user, switching a control object of the external control device from the target screen to the virtual screen and setting a control object of a control component of the electronic device as the target screen.
    Type: Application
    Filed: October 26, 2022
    Publication date: February 1, 2024
    Inventors: Xinghui WANG, Ying Xin
  • Publication number: 20240037911
    Abstract: Provided is an image classification method, an electronic device and a storage medium, relating to a field of artificial intelligence technology, and specifically, to the technical fields of deep learning, image processing and computer vision, which may be applied to scenes such as image classification. The image classification method includes: extracting a first image feature of a target image by using a first network model, where the first network model includes a convolutional neural network module; extracting a second image feature of the target image by using a second network model, where the second network model includes a deep self-attention transformer network (Transformer) module; fusing the first image feature and the second image feature to obtain a target feature to be recognized; and classifying the target image based on the target feature to be recognized.
    Type: Application
    Filed: February 14, 2023
    Publication date: February 1, 2024
    Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.
    Inventors: Ying Xin, Song Xue, Yuan Feng, Chao Li, Bin Zhang, Yunhao Wang, Shumin Han
  • Patent number: 11763552
    Abstract: A method for detecting a surface defect, a method for training model, an apparatus, a device, and a medium, are provided. The method includes: inputting a surface image of the article for detection into a defect detection model to perform a defect detection, and acquiring a defect detection result output by the defect detection model; inputting a surface image of a defective article determined to be defective into an image discrimination model based on the defect detection result to determine whether the surface image of the defective article is defective, wherein the image discrimination model is a trained generative adversarial networks model, and the generative adversarial networks model is obtained by training using a surface image of a defect-free good article; and adjusting the defect detection result of the surface image of the defective article according to a determination result of the image discrimination model.
    Type: Grant
    Filed: December 9, 2020
    Date of Patent: September 19, 2023
    Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Shufei Lin, Jianfeng Zhu, Pengcheng Yuan, Bin Zhang, Shumin Han, Yingbo Xu, Yuan Feng, Ying Xin, Xiaodi Wang, Jingwei Liu, Shilei Wen, Hongwu Zhang, Errui Ding
  • Publication number: 20230196716
    Abstract: A method for training a multi-target image-text matching model and an image-text retrieval method are provided. The method for training the multi-target image-text matching model includes: obtaining a plurality of training samples that include sample pairs each including a sample image and a sample text, the sample image including a plurality of targets; obtaining, for each of the plurality of training samples, a heat map corresponding to the sample text in the training sample, the heat map representing a region of the target in the sample image that corresponds to the sample text; and training an image-text matching model based on a plurality of the sample texts and corresponding heat maps to obtain the multi-target image-text matching model.
    Type: Application
    Filed: February 23, 2023
    Publication date: June 22, 2023
    Inventors: Yuan FENG, Zhun SUN, Honghui ZHENG, Ying XIN, Bin ZHANG, Chao LI, Yunhao WANG, Shumin HAN
  • Patent number: 11669990
    Abstract: An object area measurement method and an apparatus are provided, relating to the computer vision and deep learning technology. The method includes acquiring an original image with a spatial resolution, the original image including a target object; acquiring an object identification model including at least two sets of classification models; generating one or more original image blocks based on the original image; performing operations on each original image block: scaling each original image block at at least two scaling levels to obtain scaled image blocks with at least two sizes, the scaled image blocks respectively corresponding to the at least two sets of classification models, and inputting the scaled image blocks into the object identification model to obtain an identification result of the target object; and determining an area of the target object based on the respective identification results of the one or more original image blocks and the spatial resolution.
    Type: Grant
    Filed: August 26, 2021
    Date of Patent: June 6, 2023
    Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Yan Peng, Xiang Long, Shumin Han, Honghui Zheng, Zhuang Jia, Xiaodi Wang, Pengcheng Yuan, Yuan Feng, Bin Zhang, Ying Xin
  • Publication number: 20230154163
    Abstract: A method for recognizing a category of an image includes: acquiring a spectral image; training an image recognition model based on the spectral image, in which the image recognition model acquires a spectral semantic feature of each pixel, a minimum distance between each pixel and each category, and a spectral distance between a first spectrum of each pixel and a second spectrum of each category; splices them; and performs classification and recognition based on the spliced feature to output a recognition probability of each pixel under each category; determining a loss function of the image recognition model, adjusting the image recognition model based on the loss function, and returning to training the adjusted image recognition model based on the spectral image until training ends; recognizing a maximum recognition probability, output from a target image recognition model, and using a category corresponding to the maximum recognition probability as a target category.
    Type: Application
    Filed: January 6, 2023
    Publication date: May 18, 2023
    Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
    Inventors: Zhuang Jia, Xiang Long, Yan Peng, Honghui Zheng, Bin Zhang, Yunhao Wang, Ying Xin, Chao Li, Xiaodi Wang, Song Xue, Yuan Feng, Shumin Han
  • Publication number: 20230153387
    Abstract: A training method for a human body attribute detection model includes: acquiring positive sample sub-images and negative sample sub-images respectively corresponding to a plurality of human body attribute categories; determining a plurality of first annotation attributes respectively corresponding to the plurality of positive sample sub-images; and a plurality of second annotation attributes respectively corresponding to the plurality of negative sample sub-images; and training an artificial intelligence model according to the plurality of positive sample sub-images, the plurality of negative sample sub-images, the plurality of first annotation attributes and the plurality of second annotation attributes to obtain the human body attribute detection model, so that the human body attribute detection model obtained by training can effectively model fine-grained attributes of the human body.
    Type: Application
    Filed: January 6, 2023
    Publication date: May 18, 2023
    Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
    Inventors: Chao Li, Ying Xin, Yuan Feng, Bin Zhang, Yunhao Wang, Xiaodi Wang, Yi Gu, Xiang Long, Yan Peng, Honghui Zheng, Zhuang Jia, Shumin Han
  • Patent number: 11610388
    Abstract: The present application discloses a method and an apparatus for detecting wearing of a safety helmet, a device and a storage medium. The method for detecting wearing of a safety helmet includes: acquiring a first image collected by a camera device, where the first image includes at least one human body image; determining the at least one human body image and at least one head image in the first image; determining a human body image corresponding to each head image in the at least one human body image according to an area where the at least one human body image is located and an area where the at least one head image is located; and processing the human body image corresponding to the at least one head image according to a type of the at least one head image.
    Type: Grant
    Filed: February 1, 2021
    Date of Patent: March 21, 2023
    Assignee: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
    Inventors: Mingyuan Mao, Yuan Feng, Ying Xin, Pengcheng Yuan, Bin Zhang, Shufei Lin, Xiaodi Wang, Shumin Han, Yingbo Xu, Jingwei Liu, Shilei Wen, Hongwu Zhang, Errui Ding
  • Publication number: 20230068025
    Abstract: A method for generating a road annotation, a device, and a storage medium are provided. The method may include: generating a road quantity and a road width in a tag picture; generating, for each road in the tag picture, a start point and an end point of the road; generating at least one point between the start point and the end point; drawing, for two adjacent points, a line segment from a previous point to a next point, where a width of the line segment is equal to the road width; and generating slanted box annotation information based on a coordinate of the previous point and a coordinate of the next point, where the slanted box annotation information includes an intersection point of diagonal lines, a width, a height and a slant angle of a slanted box.
    Type: Application
    Filed: November 7, 2022
    Publication date: March 2, 2023
    Inventors: Yan PENG, Xiang LONG, Honghui ZHENG, Zhuang JIA, Bin ZHANG, Xiaodi WANG, Ying XIN, Yi GU, Yunhao WANG, Chao LI, Yuan FENG, Shumin HAN
  • Publication number: 20230008696
    Abstract: The present disclosure provides a method for incrementing a sample image, an electronic device, and a computer readable storage medium. A specific implementation comprises: acquiring a first convolutional feature of an original sample image; determining, according to a region generation network and the first convolutional feature, a candidate region and a first probability that the candidate region contains a target object; determining a target candidate region from the candidate region based on the first probability, and mapping the target candidate region back to the original sample image to obtain an intermediate image; and performing image enhancement processing on a portion of the intermediate image corresponding to the target candidate region and/or performing image blur processing on a portion of the intermediate image corresponding to a non-target candidate region to obtain an incremental sample image.
    Type: Application
    Filed: September 7, 2022
    Publication date: January 12, 2023
    Inventors: Yunhao WANG, Bin ZHANG, Ying XIN, Yuan FENG, Shumin HAN
  • Publication number: 20220391587
    Abstract: A method of training an image-text retrieval model, a method of multimodal image retrieval, an electronic device and a storage medium, each relating to the technical field of artificial intelligence, and in particular, to fields of computer vision and deep learning technologies. Sample data including a sample text and a sample image is acquired. The sample text includes a sample text in a first language and a sample text in a second language. The sample text in the first language and the sample text in the second language are processed by using the text encoding sub-model to obtain a sample text feature of the sample data. The sample image is processed by using the image encoding sub-model to obtain a sample image feature of the sample data. The image-text retrieval model is trained according to the sample text feature and the sample image feature.
    Type: Application
    Filed: August 16, 2022
    Publication date: December 8, 2022
    Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
    Inventors: Yuan Feng, Xiang Long, Honghui Zheng, Ying Xin, Bin Zhang, Chao Li, Xiaodi Wang, Yi Gu, Yunhao Wang, Yan Peng, Zhuang Jia, Shumin Han
  • Publication number: 20220374889
    Abstract: A virtual payment method and system. A first virtual account is associated with a physical account, and a second virtual account is associated with the physical account. That is, virtual accounts of different accounts are all associated with the physical account. During the payment for flight ticket booking information by means of virtual payment, it is an exchange of a virtual currency between different virtual accounts associated with the same physical account. During the process, balances in virtual accounts that exchange virtual currencies with each other change, but the total amount in the physical account associated with a plurality of different virtual accounts remains unchanged, that is, the actual currency amount in the physical account does not change. The present invention would not he restricted by an implementation measure of the Central Bank.
    Type: Application
    Filed: November 3, 2020
    Publication date: November 24, 2022
    Applicant: TravelSky Technology Limited
    Inventors: Zhidan Zhang, Sujuan Zhang, Ying Xin, Yanna Li, Xue Li, Xiaoliang Wang, Xiaofeng Fei, Yongwang Zhang, Zhonglin Jiang, Xinhui Song
  • Publication number: 20220301131
    Abstract: A method for generating a sample image includes: obtaining an initial image size of an initial image; obtaining a plurality of reference images by processing the initial image based on different reference processing modes; obtaining an image to be processed by fusing the plurality of reference images; and determining a target sample image from images to be processed based on the initial image size.
    Type: Application
    Filed: May 12, 2022
    Publication date: September 22, 2022
    Inventors: Jingwei LIU, Yi GU, Xuhui LIU, Xiaodi WANG, Shumin HAN, Yuan FENG, Ying XIN, Chao LI, Bin ZHANG, Honghui ZHENG, Xiang LONG, Yan PENG, Errui DING, Yunhao WANG
  • Publication number: 20220147822
    Abstract: Provided are a training method and apparatus for a target detection model, a device and a storage medium. The training method is described below. A feature map of a sample image is processed through a classification network of an initial model and a heat map and a classification prediction result of the feature map are obtained, a classification loss value is determined according to the classification prediction result and classification supervision data of the sample image, and a category probability of pixels in the feature map is determined according to the heat map of the feature map and a probability distribution map of the feature map is obtained; the feature map is processed through a regression network of the initial model and a regression prediction result is obtained, and a regression loss value is determined.
    Type: Application
    Filed: August 27, 2021
    Publication date: May 12, 2022
    Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
    Inventors: Ying XIN, Yuan FENG, Guanzhong WANG, Pengcheng YUAN, Bin ZHANG, Xiaodi WANG, Xiang LONG, Yan PENG, Honghui ZHENG, Shumin HAN
  • Publication number: 20220148190
    Abstract: The disclosure provides a method for detecting a change of a building, an apparatus for detecting a change of a building, an electronic device, a storage medium and a computer program product. The method includes: obtaining a remote-sensing image sequence of a to-be-detected region; obtaining a building probability map corresponding to each remote-sensing image in the remote-sensing image sequence; determining a sub-region located by each building in the to-be-detected region based on the building probability map corresponding to each remote-sensing image; for each building, determining an existence probability of the building in each remote-sensing image based on the sub-region located by the building and the building probability map corresponding to each remote-sensing image; and determining a change condition of the building based on the existence probability of the building in each remote-sensing image.
    Type: Application
    Filed: January 19, 2022
    Publication date: May 12, 2022
    Inventors: Xiang LONG, Yan PENG, Honghui ZHENG, Zhuang JIA, Bin ZHANG, Xiaodi WANG, Pengcheng YUAN, Ying XIN, Yuan FENG, Shumin HAN
  • Publication number: 20220036068
    Abstract: The disclosure provides a method for recognizing an image, an apparatus for recognizing an image, an electronic device and a storage medium. An image to be processed is obtained. The number of first channels of the image is greater than the number of second channels of a red-green-blue (RGB) image. For each pixel of the image, a semantic type of the pixel is determined based on a value of the pixel on each channel. A recognition result of the image is generated based on the image and the semantic type of each pixel.
    Type: Application
    Filed: October 18, 2021
    Publication date: February 3, 2022
    Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
    Inventors: Yan PENG, Xiang LONG, Honghui ZHENG, Zhuang JIA, Bin ZHANG, Xiaodi WANG, Ying XIN, Yi GU, Yunhao WANG, Chao LI, Yuan FENG, Shumin HAN
  • Publication number: 20220020175
    Abstract: An object detection model training method, object detection method and related apparatus, relate to the field of artificial intelligence technologies such as computer vision, deep learning. An implementation includes: obtaining training sample data including a first remote sensing image and position annotation information of an anchor box of a subject to be detected in the first remote sensing image, where the position annotation information includes angle information of the anchor box relative to a preset direction; obtaining an object feature map of the first remote sensing image based on an object detection model, performing object detection on the subject to be detected based on the object feature map to obtain an object bounding box, and determining loss information between the anchor box and the object bounding box based on the angle information; updating a parameter of the object detection model based on the loss information.
    Type: Application
    Filed: September 30, 2021
    Publication date: January 20, 2022
    Inventors: Xiaodi WANG, Shumin HAN, Yuan FENG, Ying XIN, Bin ZHANG, Xiang LONG, Honghui ZHENG, Yan PENG, Zhuang JIA
  • Publication number: 20210390682
    Abstract: A method for detecting a surface defect, a method for training model, an apparatus, a device, and a medium, are provided. The method includes: inputting a surface image of the article for detection into a defect detection model to perform a defect detection, and acquiring a defect detection result output by the defect detection model; inputting a surface image of a defective article determined to be defective into an image discrimination model based on the defect detection result to determine whether the surface image of the defective article is defective, wherein the image discrimination model is a trained generative adversarial networks model, and the generative adversarial networks model is obtained by training using a surface image of a defect-free good article; and adjusting the defect detection result of the surface image of the defective article according to a determination result of the image discrimination model.
    Type: Application
    Filed: December 9, 2020
    Publication date: December 16, 2021
    Inventors: Shufei LIN, Jianfeng ZHU, Pengcheng YUAN, Bin ZHANG, Shumin HAN, Yingbo XU, Yuan FENG, Ying XIN, Xiaodi WANG, Jingwei LIU, Shilei WEN, Hongwu ZHANG, Errui DING
  • Publication number: 20210390728
    Abstract: An object area measurement method and an apparatus are provided, relating to the computer vision and deep learning technology. The method includes acquiring an original image with a spatial resolution, the original image including a target object; acquiring an object identification model including at least two sets of classification models; generating one or more original image blocks based on the original image; performing operations on each original image block: scaling each original image block at at least two scaling levels to obtain scaled image blocks with at least two sizes, the scaled image blocks respectively corresponding to the at least two sets of classification models, and inputting the scaled image blocks into the object identification model to obtain an identification result of the target object; and determining an area of the target object based on the respective identification results of the one or more original image blocks and the spatial resolution.
    Type: Application
    Filed: August 26, 2021
    Publication date: December 16, 2021
    Inventors: Yan PENG, Xiang Long, Shumin Han, Honghui Zheng, Zhuang Jia, Xiaodi Wang, Pengcheng Yuan, Yuan Feng, Bin Zhang, Ying Xin