公开(公告)号：US20240013380A1

公开(公告)日：2024-01-11

申请号：US18332927

申请日：2023-06-12

申请人： Hubei Provincial Tobacco Research Institute

发明人： Chunlei YANG ,  Guangwei SUN ,  Jinpeng YANG ,  Jun YU ,  Xiongfei Rao ,  Wencan PEI ,  Xiaowei LIU ,  Jing LIU ,  Jinguo HUANG

IPC分类号： G06T7/00 ,  G06T7/90 ,  G06T5/00 ,  G06V10/30 ,  G06V10/762 ,  G06V10/774

CPC分类号： G06T7/0012 ,  G06T7/90 ,  G06T5/002 ,  G06V10/30 ,  G06V10/763 ,  G06V10/774 ,  G06T2207/20081 ,  G06T2207/20182 ,  G06T2207/30188

摘要： A cigar tobacco leaf harvesting maturity identification method and system based on integrated learning are provided. The method comprises: acquiring an image of a cigar tobacco leaf to be detected, and preprocessing the image of the cigar tobacco leaf to be detected; carrying out vectorization dimensionality reduction on the preprocessed image of the cigar tobacco leaf to be detected, and extracting RGB and HSV eigenvalues to obtain a feature set; carrying out feature dimensionality reduction on data in the feature set by using a Wrapper algorithm to obtain an initial data set of the image of the cigar tobacco leaf to be detected; and inputting the initial data set into a trained random forest model, and outputting a maturity identification result of the image of the cigar tobacco leaf.

公开(公告)号：US20230419685A1

公开(公告)日：2023-12-28

申请号：US18460306

申请日：2023-09-01

申请人： QUALCOMM Incorporated

发明人： Onkar Jayant DABEER ,  Kiran SOMASUNDARAM ,  Radhika Dilip GOWAIKAR ,  Ravi Teja SUKHAVASI

IPC分类号： G06V20/58 ,  G01C21/36 ,  G06V20/10 ,  G06V20/56 ,  G01C21/00 ,  G06F18/231 ,  G06F18/22 ,  G06F18/2135 ,  G06F18/23213 ,  G06V10/762 ,  G06V10/77 ,  G01C21/30 ,  G06T17/05

CPC分类号： G06V20/582 ,  G01C21/3602 ,  G06V20/10 ,  G06V20/588 ,  G01C21/3867 ,  G01C21/3881 ,  G06F18/231 ,  G06F18/22 ,  G06F18/2135 ,  G06F18/23213 ,  G06V10/7625 ,  G06V10/763 ,  G06V10/7715 ,  G06V20/56 ,  G01C21/30 ,  G06T17/05

摘要： A method performed by an apparatus is described. The method includes receiving map data that is based on first image data, second image data, and a similarity metric. The first image data can be received from a first vehicle and represent an object. The second image data can be received from a second vehicle and represent the object. The similarity metric can be associated with the object represented in the first image data and the object represented in the second image data. The method can also include storing, by a vehicle, the received map data and localizing the vehicle based on the stored map data.

公开(公告)号：US20230410463A1

公开(公告)日：2023-12-21

申请号：US18037723

申请日：2021-11-19

申请人： Huawei Technologies Co., Ltd.

发明人： Maosen Zhou ,  Yanlin Qian ,  Minggui He ,  Kang Qian ,  Yongxing Yang ,  Miaofeng Wang

IPC分类号： G06V10/60 ,  G06T7/90 ,  G06V10/764 ,  G06V10/762 ,  G06V10/56 ,  G06V10/143 ,  G06V10/774 ,  G06V10/74

CPC分类号： G06V10/60 ,  G06T7/90 ,  G06V10/764 ,  G06V10/763 ,  G06V10/56 ,  G06V10/143 ,  G06V10/774 ,  G06V10/761 ,  G06T2207/10024 ,  G06T2207/10036 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20072

摘要： A method for obtaining a light source spectrum includes: obtaining first information in a current photographing scene, where the first information includes at least one of a first image generated by a red, green, and blue (RGB) sensor or a light intensity of light received by each pixel on a first multispectral sensor; inputting the first information into a first model to obtain a probability that a light source in the current photographing scene belongs to each type of light source; and determining a spectrum of the light source in the current photographing scene based on the probability that the light source in the current photographing scene belongs to each type of light source and a spectrum of each type of light source.

公开(公告)号：US11847800B2

公开(公告)日：2023-12-19

申请号：US18067838

申请日：2022-12-19

申请人： CaaStle, Inc.

发明人： Steven Sesshu Shimozaki

IPC分类号： G06T7/90 ,  G06F16/51 ,  G06F16/583 ,  G06T7/70 ,  G06T7/60 ,  G06T7/194 ,  G06V20/10 ,  G06V40/16 ,  G06F18/24 ,  G06V10/42 ,  G06V10/75 ,  G06V10/762

CPC分类号： G06T7/90 ,  G06F16/51 ,  G06F16/583 ,  G06F18/24 ,  G06T7/194 ,  G06T7/60 ,  G06T7/70 ,  G06V10/431 ,  G06V10/76 ,  G06V10/763 ,  G06V20/10 ,  G06V40/161 ,  G06V40/172 ,  G06T2207/20056

摘要： Disclosed are methods, systems, and non-transitory computer-readable medium for color and pattern analysis of images including wearable items. For example, a method may include receiving an image depicting a wearable item, identifying the wearable item within the image by identifying a face of an individual wearing the wearable item or segmenting a foreground silhouette of the wearable item from background image portions of the image, determining a portion of the wearable item identified within the image as being a patch portion representative of the wearable item depicted within the image, deriving one or more patterns of the wearable item based on image analysis of the determined patch portion of the image, deriving one or more colors of the wearable item based on image analysis of the determined patch portion of the image, and transmitting information regarding the derived one or more colors and information regarding the derived one or more patterns.

公开(公告)号：US11783521B2

公开(公告)日：2023-10-10

申请号：US17956909

申请日：2022-09-30

申请人： Google LLC

发明人： Dominick Lim ,  Kristi Bohl ,  Jason Chang ,  Vidya Valmikinathan ,  Taehee Lee ,  Jeremy Zhu

IPC分类号： G06T11/60 ,  G06V20/00 ,  G06F18/23 ,  G06F3/048 ,  G06F16/55 ,  G06F16/58 ,  G06V20/30 ,  G06V20/40 ,  G06V40/16 ,  G06Q50/10 ,  G06F16/75 ,  G06F16/78 ,  G06F18/23211 ,  G06T5/50 ,  G06V10/762

CPC分类号： G06T11/60 ,  G06F18/23 ,  G06V20/00 ,  G06F3/048 ,  G06F16/55 ,  G06F16/5866 ,  G06F16/75 ,  G06F16/7867 ,  G06F18/23211 ,  G06Q50/10 ,  G06T5/50 ,  G06T2200/24 ,  G06T2207/20221 ,  G06V10/763 ,  G06V20/30 ,  G06V20/47 ,  G06V40/173

摘要： Implementations described herein relate to methods, devices, and computer-readable media to generate and provide image-based creations. A computer-implemented method includes obtaining a plurality of episodes, each episode associated with a corresponding time period and including a respective set of images and person identifiers for each image. The method further includes forming a respective cluster for each episode that includes at least two person identifiers. The method further includes determining whether one or more person identifiers are included in less than a threshold number of clusters, and in response, removing the one or more person identifiers from the clusters that the one or more person identifiers that are included in. The method further includes merging identical clusters to obtain a plurality of people groups that each include two or more person identifiers and providing a user interface that includes an image-based creation based on a particular people group.

公开(公告)号：US20230316710A1

公开(公告)日：2023-10-05

申请号：US17707612

申请日：2022-03-29

申请人： HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

发明人： SATISH KUMAR MOPUR ,  Gunalan Perumal Vijayan ,  Shounak Bandopadhyay ,  Krishnaprasad Lingadahalli Shastry

IPC分类号： G06V10/762 ,  G06V10/776 ,  G06V10/82 ,  G06N3/04

CPC分类号： G06V10/763 ,  G06V10/776 ,  G06V10/82 ,  G06N3/0454

摘要： Systems and methods are provided for implementing a Siamese neural network using improved “sub” neural networks and loss function. For example, the system can detect a granular change in images using a Siamese Neural Network with Convolutional Autoencoders as the twin sub networks (e.g., Siamese AutoEncoder or “SAE”). In some examples, the loss function may be an adaptive loss function to the SAE network rather than a contrastive loss function, which can help enable smooth control of granularity of change detection across the images. In some examples, an image separation distance value may be calculated to determine the value of change between the image pairs. The image separation distance value may be determined using an Euclidean distance associated with a latent space of an encoder portion of the autoencoder of the neural networks.

公开(公告)号：US20230267332A1

公开(公告)日：2023-08-24

申请号：US17990050

申请日：2022-11-18

申请人： Capital One Services, LLC

发明人： Mark IBRAHIM ,  John PAISLEY ,  Ceena MODARRES ,  Melissa LOUIE

IPC分类号： G06N3/084 ,  G06N3/04 ,  G06V10/762 ,  G06F18/23213

CPC分类号： G06N3/084 ,  G06N3/04 ,  G06V10/763 ,  G06F18/23213

摘要： Embodiments include techniques to determine a set of credit risk assessment data samples, generate local credit risk assessment attributions for the set of credit risk assessment samples, and normalize each local credit risk assessment attribution of the local credit risk assessment attributions. Further, embodiments techniques to compare each pair of normalized local credit risk assessment attributions and assign a rank distance thereto proportional to a degree of ranking differences between the pair of normalized local credit risk assessment attributions. The techniques also include applying a K-medoids clustering algorithm to generate clusters of the local risk assessment attributions, generating global attributions, and determining insights for the neural network based on the global attributions.

公开(公告)号：US11727564B2

公开(公告)日：2023-08-15

申请号：US17815671

申请日：2022-07-28

申请人： PAIGE.AI, Inc.

发明人： Rodrigo Ceballos Lentini ,  Christopher Kanan ,  Belma Dogdas

IPC分类号： G06T7/00 ,  G06T7/11 ,  G16H50/20 ,  G06N20/00 ,  G06V10/762 ,  G06V30/19 ,  G16B40/00 ,  G06F18/23213

CPC分类号： G06T7/0012 ,  G06F18/23213 ,  G06N20/00 ,  G06T7/11 ,  G06V10/763 ,  G06V30/19107 ,  G16B40/00 ,  G16H50/20 ,  G06T2207/20081 ,  G06T2207/30024 ,  G06T2207/30096

摘要： Systems and methods are disclosed for grouping cells in a slide image that share a similar target, comprising receiving a digital pathology image corresponding to a tissue specimen, applying a trained machine learning system to the digital pathology image, the trained machine learning system being trained to predict at least one target difference across the tissue specimen, and determining, using the trained machine learning system, one or more predicted clusters, each of the predicted clusters corresponding to a subportion of the tissue specimen associated with a target.

公开(公告)号：US20230188483A1

公开(公告)日：2023-06-15

申请号：US18165917

申请日：2023-02-07

申请人： Capital One Services, LLC

发明人： Kunlaya SOIAPORN ,  Victor ALVAREZ MIRANDA ,  Pamela KATALI ,  Arturo HERNANDEZ ZELEDON ,  Rui ZHANG ,  Kwan-Yuet HO

IPC分类号： H04L51/02 ,  G10L15/16 ,  G06N20/20 ,  G06F18/23

CPC分类号： H04L51/02 ,  G06F18/23 ,  G06N20/20 ,  G10L15/16 ,  G06V10/763

摘要： Methods and systems are described for generating dynamic conversational responses using two-tier machine learning models. The dynamic conversational responses may be generated in real time and reflect the likely goals and/or intents of a user. The two-tier machine learning model may include a first tier that determines an intent cluster based on a feature input, and a second tier that determines a specific intent from the cluster.

公开(公告)号：US20230186592A1

公开(公告)日：2023-06-15

申请号：US17546652

申请日：2021-12-09

申请人： ABBYY Development Inc.

发明人： Vadim Mikhonov ,  Ivan Zagaynov

IPC分类号： G06V10/56 ,  G06V10/26 ,  G06V10/762 ,  G06V10/28 ,  G06V10/44 ,  G06V30/41

CPC分类号： G06V10/56 ,  G06V10/26 ,  G06V10/28 ,  G06V10/457 ,  G06V10/763 ,  G06V30/41

摘要： A method of the disclosure includes receiving, by a processing device, a document image, dividing the document image into a plurality of patches and determining, for each patch, whether the patch is monochromatic or polychromatic. It further includes clusterizing a plurality of monochromatic patches into a plurality of clusters within a color space, wherein each cluster corresponds to a color layer of a plurality of color layers of the document image, and segmenting each polychromatic patch into a corresponding plurality of monochromatic segments. The method also includes, for each polychromatic patch, associating each monochromatic segment of the corresponding plurality of monochromatic segments with a cluster of the plurality of clusters, and utilizing the plurality of clusters for performing an information extraction task on the document image.