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1. 发明申请

US20230132841A1 METHODS, SYSTEMS, ARTICLES OF MANUFACTURE, AND APPARATUS TO RECALIBRATE CONFIDENCES FOR IMAGE CLASSIFICATION 有权
公开(公告)号：US20230132841A1
公开(公告)日：2023-05-04
申请号：US18148973
申请日：2022-12-30
申请人： Nielsen Consumer LLC
发明人： Emilio Almazan , Aitor Aller Beascoechea , Javier Tovar Velasco
IPC分类号： G06F18/21 , G06N3/04 , G06N3/08 , G06V10/22 , G06V10/26 , G06V10/426 , G06F18/214 , G06F18/2415
摘要： Methods, systems, articles of manufacture, and apparatus to recalibrate confidences for image classification are disclosed. An example apparatus to classify an image includes an image crop detector to detect a first image crop from the image, the first image crop corresponding to a first object, a grouping controller to select a second image crop corresponding to a second object at a location of the first object, a prediction generator to, in response to executing a trained model, determine a label corresponding to the first object and a confidence level associated with the label, and a confidence recalibrator to recalibrate the confidence level based on a probability of the first object having a first attribute based on the second object having a second attribute, the confidence level recalibrated to increase an accuracy of the image classification.

2. 发明授权

US11615129B2 Electronic message text classification framework selection 有权
公开(公告)号：US11615129B2
公开(公告)日：2023-03-28
申请号：US15824840
申请日：2017-11-28
申请人： International Business Machines Corporation
发明人： Vijay Francis , Dennis J. Chen , Jonathan Dunne , Andrew T. Penrose
IPC分类号： G06F16/35 , G06F18/21 , G06F18/2411 , G06F18/2415 , G06F18/243 , G06F18/24 , G06N3/08 , G06N20/00
摘要： Electronic message text classification framework selection is described. An incoming electronic message is classified using a current text classification framework. A classification of the electronic message by the current text classification framework is scored. A cost of re-training the current text classification is compared against a cost of switching to a different text classification framework. One of multiple text classification frameworks, which includes the current text classification framework and other text classification frameworks, is selected based on the score of the classification by the current text classification framework and a result of the comparison.

3. 发明申请

US20230129222A1 DIGITAL HISTOPATHOLOGY AND MICRODISSECTION 有权
公开(公告)号：US20230129222A1
公开(公告)日：2023-04-27
申请号：US18088487
申请日：2022-12-23
申请人： NantOmics, LLC
发明人： Bing Song , Gregory Chu
IPC分类号： G06V10/82 , G06T7/00 , G06N3/04 , G06T7/187 , G06T7/11 , G06V10/50 , G06V10/44 , G06V20/69 , G06F18/21 , G06F18/20 , G06F18/2411 , G06F18/23213 , G06F18/2413 , G06F18/2415 , G06N3/045 , G06N7/01 , G06V10/764 , G06V10/778
摘要： A computer implemented method of generating at least one shape of a region of interest in a digital image is provided. The method includes obtaining, by an image processing engine, access to a digital tissue image of a biological sample; tiling, by the image processing engine, the digital tissue image into a collection of image patches; identifying, by the image processing engine, a set of target tissue patches from the collection of image patches as a function of pixel content within the collection of image patches; assigning, by the image processing engine, each target tissue patch of the set of target tissue patches an initial class probability score indicating a probability that the target tissue patch falls within a class of interest, the initial class probability score generated by a trained classifier executed on each target tissue patch; generating, by the image processing engine, a first set of tissue region seed patches by identifying target tissue patches having initial class probability scores that satisfy a first seed region criteria, the first set of tissue region seed patches comprising a subset of the set of target tissue patches; generating, by the image processing engine, a second set of tissue region seed patches by identifying target tissue patches having initial class probability scores that satisfy a second seed region criteria, the second set of tissue region seed patches comprising a subset of the set of target tissue patches; calculating, by the image processing engine, a region of interest score for each patch in the second set of tissue region seed patches as a function of initial class probability scores of neighboring patches of the second set of tissue region seed patches and a distance to patches within the first set of issue region seed patches; and generating, by the image processing engine, one or more region of interest shapes by grouping neighboring patches based on their region of interest scores.

4. 发明授权

US11636626B2 Apparatus and method of using AI metadata related to image quality 有权
公开(公告)号：US11636626B2
公开(公告)日：2023-04-25
申请号：US17100212
申请日：2020-11-20
申请人： SAMSUNG ELECTRONICS CO., LTD.
发明人： Sangwook Baek , Minsu Cheon , Yongsup Park , Jaeyeon Park , Kwangpyo Choi
IPC分类号： G06K9/62 , G06T9/00 , H04N19/30 , H04N19/136 , G06V10/82 , G06V10/764 , H04N19/20 , G06V20/60 , G06T7/10 , G06V10/70 , G06V10/72 , G06F18/2415 , G06N7/01 , G06V10/774 , G06V10/44 , G06V20/00 , G06V20/70
摘要： An image providing apparatus configured to generate, by using a first artificial intelligence (AI) network, AI metadata including class information and at least one class map, in which the class information includes at least one class corresponding to a type of an object among a plurality of predefined objects included in a first image and the at least one class map indicates a region corresponding to each class in the first image, generate an encoded image by encoding the first image, and output the encoded image and the AI metadata through the output interface.

5. 发明授权

US11636132B1 Systems and methods for automatically deriving data transformation criteria 有权
公开(公告)号：US11636132B1
公开(公告)日：2023-04-25
申请号：US17177029
申请日：2021-02-16
申请人： Wells Fargo Bank, N.A.
发明人： Brian Karp , Damon Antoine Porter , Stacy Renee Henryson , Ethan M. Hopkins , Matthew Dean Wilson
IPC分类号： G06F16/26 , G06F16/25 , G06F18/214 , G06N20/00 , G06F18/2415
摘要： Systems, apparatuses, methods, and computer program products are disclosed for automatically deriving data transformation criteria. An example method includes receiving, by communications circuitry, a source dataset and a target dataset and identifying, by a model generator, a target variable. The example method further includes training, by the model generator, a decision tree for the target variable using the source dataset and the target dataset such that the trained decision tree can predict a value for the target variable from new source data. The example method further includes deriving, by a derivation engine, a set of parameters and pseudocode for producing the target variable from the source dataset.

6. 发明公开

EP4261794A1 IMAGE PROCESSING DEVICE, DATA MANAGEMENT DEVICE, IMAGE PROCESSING SYSTEM, IMAGE PROCESSING METHOD, AND NON-TRANSITORY STORAGE MEDIUM 审中-公开
公开(公告)号：EP4261794A1
公开(公告)日：2023-10-18
申请号：EP23167620.6
申请日：2023-04-12
申请人： ARKRAY, Inc.
发明人： FUJIMOTO, Koji
IPC分类号： G06V20/69 , G06V10/75 , G06F18/2415
摘要： An image processing device (10) including an acquisition section (11A) that acquires plural material component images, a first classification section (11B) that classifies the plural material component images as detected components for respective prescribed classifications and computes a goodness of fit for classification results, and a transmission section (11D) that, based on the computed goodness of fit, transmits designated material component images from among the plural material component images via a network line to a data management device.

7. 发明授权

EP4102404B1 SYSTEM AND METHOD FOR DYNAMICALLY GENERATING COMPOSABLE WORKFLOW FOR MACHINE VISION APPLICATION-BASED ENVIRONMENTS 有权
公开(公告)号：EP4102404B1
公开(公告)日：2023-12-20
申请号：EP21196740.1
申请日：2021-09-15
发明人： LAKSHMINARASIMHA JAYAVARDHANA, Rama Gubbi , PURUSHOTHAMAN, Balamuralidhar , SENGAR, Vartika
IPC分类号： G06V10/96 , G06F18/2415

8. 发明申请

WO2023274059A1 交替序列生成模型训练方法、从文本中抽取图的方法审中-公开
公开(公告)号：WO2023274059A1
公开(公告)日：2023-01-05
申请号：PCT/CN2022/101089
申请日：2022-06-24
申请人：任立椋
发明人：任立椋 REN, Liliang
IPC分类号： G06F16/36 , G06F40/253 , G06F16/288 , G06F16/35 , G06F18/214 , G06F18/2415 , G06F40/211 , G06F40/216 , G06F40/295 , G06N3/045 , G06N3/08
摘要：本发明公开一种交替序列生成模型训练方法，包括：从样本库中获取训练样本对，所述训练样本对包括成对的训练文本和训练信息图，所述训练信息图中包括多个节点和至少一条连接所述多个节点中的两个节点的边；根据所述训练信息图生成包含节点信息和边信息的训练交替序列；根据所述训练文本和所述训练交替序列训练交替序列生成模型。通过模型从文本中提取信息图时并未直接对图进行建模，而是将从文本中提取图的问题转化为了从文本中提取交替序列的问题，从而使得本实施例的方法得到的交替序列生成模型在用于图抽取时只具有线性的时间和空间复杂度，在时间和空间效率上得到了显著的提升。

9. 发明申请

WO2023278101A1 ARTIFICIAL REALITY APPLICATION LIFECYCLE 审中-公开
公开(公告)号：WO2023278101A1
公开(公告)日：2023-01-05
申请号：PCT/US2022/032288
申请日：2022-06-05
申请人： META PLATFORMS TECHNOLOGIES, LLC
发明人： HLAVAC, Michal , STEVENS, Jasper , ZWIEGINCEW, Arthur , LOUIE, Alexander Michael
IPC分类号： G06F3/01 , G06F8/61 , G06F16/9535 , H04M1/72454 , G06F18/2178 , G06F18/22 , G06F18/2415 , G06F21/629 , G06F3/011 , G06F3/017 , G06F3/0482 , G06F3/0486 , G06N20/00 , H04M1/724097
摘要： Aspects of the present disclosure are directed to an artificial reality (XR) application system controlling applications in an artificial reality environment. In various cases, these controls include automatically suggesting XR applications by determining an XR context and identifying applications that match the XR context. These applications can be suggested to a user, who can authorize their execution, setting permissions for the application. In some cases, applications can be divided into components which can be progressively downloaded. By providing application suggestions relevant to the current context and progressively downloading application components, applications can appear ambient, rather than relying on users to constantly download, install, or activate applications. Permissions for applications may be revoked permanently or for certain situations - either through user permissions selections or automatically in response to determined user intents. When multiple applications are simultaneously authorized to execute, the XR application system can employ a ranking system to prevent overcrowding.

10. 发明申请

US20230127880A1 PLANT FEATURE DETECTION USING CAPTURED IMAGES 有权
公开(公告)号：US20230127880A1
公开(公告)日：2023-04-27
申请号：US18082312
申请日：2022-12-15
申请人： Blue River Technology Inc.
发明人： Lee Kamp Redden
IPC分类号： H04N13/243 , H04N13/204 , G06T7/593 , H04N13/128 , H04N13/239 , H04N13/271 , G06V20/00 , G06F18/2415 , G06V10/764 , G06V20/10
摘要： Described are methods for identifying the in-field positions of plant features on a plant by plant basis. These positions are determined based on images captured as a vehicle (e.g., tractor, sprayer, etc.) including one or more cameras travels through the field along a row of crops. The in-field positions of the plant features are useful for a variety of purposes including, for example, generating three-dimensional data models of plants growing in the field, assessing plant growth and phenotypic features, determining what kinds of treatments to apply including both where to apply the treatments and how much, determining whether to remove weeds or other undesirable plants, and so on.

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