公开(公告)号：WO2022241368A1

公开(公告)日：2022-11-17

申请号：PCT/US2022/071768

申请日：2022-04-18

申请人： PAIGE.AL, INC.

发明人： ALEMI, Navid ,  KANAN, Christopher ,  GRADY, Leo

IPC分类号： G06T7/00 ,  G16H30/40 ,  G01N1/30 ,  G06T2207/10056 ,  G06T2207/20084 ,  G06T5/001 ,  G06V10/454 ,  G06V10/56 ,  G06V10/82 ,  G06V20/695 ,  G16H50/20

摘要： Systems and methods are disclosed for adjusting attributes of whole slide images, including stains therein. A portion of a whole slide image comprised of a plurality of pixels in a first color space and including one or more stains may be received as input. Based on an identified stain type of the stain(s), a machine- learned transformation associated with the stain type may be retrieved and applied to convert an identified subset of the pixels from the first to a second color space specific to the identified stain type. One or more attributes of the stain(s) may be adjusted in the second color space to generate a stain-adjusted subset of pixels, which are then converted back to the first color space using an inverse of the machine-learned transformation. A stain-adjusted portion of the whole slide image including at least the stain-adjusted subset of pixels may be provided as output.

公开(公告)号：WO2022002964A1

公开(公告)日：2022-01-06

申请号：PCT/EP2021/067890

申请日：2021-06-29

申请人： L'ORÉAL

发明人： DESPOIS, Julien ,  FLAMENT, Frédéric ,  PERROT, Matthieu

IPC分类号： G06K9/00 ,  G06K9/62 ,  G06K9/46 ,  G06T7/00 ,  A45D44/005 ,  G06K9/6256 ,  G06K9/6261 ,  G06K9/6271 ,  G06N3/0454 ,  G06N3/088 ,  G06Q30/0631 ,  G06Q30/0643 ,  G06T11/00 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30088 ,  G06T2207/30201 ,  G06T7/0012 ,  G06V10/454 ,  G06V10/50 ,  G06V10/82 ,  G06V40/171

摘要： There are provided computing devices and methods, etc. to controllably transform an image of a face, including a high resolution image, to simulate continuous aging. Ethnicity-specific aging information and weak spatial supervision are used to guide the aging process defined through training a model comprising a GANs based generator. Aging maps present the ethnicity-specific aging information as skin sign scores or apparent age values. The scores are located in the map in association with a respective location of the skin sign zone of the face associated with the skin sign. Patch-based training, particularly in association with location information to differentiate similar patches from different parts of the face, is used to train on high resolution images while minimize resource usage.

公开(公告)号：WO2022001034A1

公开(公告)日：2022-01-06

申请号：PCT/CN2020/139349

申请日：2020-12-25

申请人： ZHEJIANG DAHUA TECHNOLOGY CO., LTD.

发明人： SUN, Libo ,  PAN, Huadong ,  YIN, Jun

IPC分类号： G06K9/62 ,  G06V10/454 ,  G06V10/774 ,  G06V10/82 ,  G06V2201/07

摘要： A target re-identification method, a network training method thereof and a related device. The training method comprises the steps of obtaining a training image set; identifying each training image in the training image set by using a target re-identification network; obtaining an identification result of each training image; wherein the target re-identification network comprises a plurality of branches; wherein the recognition result of each training image comprises feature information output by each branch and a classification result corresponding to the feature information; wherein the feature information output by one branch comprises n pieces of local feature information, n is greater than 3, and the n pieces of local feature information correspond to different image areas of the training image; and adjusting the parameter of each branch of the target re-identification network based on the identification result of the training image. In this way, the result of target recognition by the trained target re-recognition network is more accurate.

公开(公告)号：WO2021262603A1

公开(公告)日：2021-12-30

申请号：PCT/US2021/038262

申请日：2021-06-21

申请人： NVIDIA CORPORATION

发明人： PARK, Minwoo ,  KWON, Junghyun ,  KOCAMAZ, Mehmet K. ,  SEO, Hae-Jong ,  RODRIGUEZ HERVAS, Berta ,  CHOE, Tae Eun

IPC分类号： G06K9/00 ,  G06K9/46 ,  G06K9/62 ,  G06K9/68 ,  G06K9/20 ,  B60W2554/4029 ,  B60W2554/4044 ,  B60W2556/35 ,  B60W60/00272 ,  G01S13/862 ,  G01S13/865 ,  G01S13/867 ,  G01S13/931 ,  G01S17/931 ,  G01S2013/93271 ,  G01S2015/938 ,  G06K9/6288 ,  G06K9/6293 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/0481 ,  G06N3/084 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T7/292 ,  G06V10/16 ,  G06V10/454 ,  G06V20/56 ,  G06V20/58 ,  G06V20/588 ,  G06V30/2552

摘要： In various examples, a multi-sensor fusion machine learning model – such as a deep neural network (DNN) – may be deployed to fuse data from a plurality of individual machine learning models. As such, the multi-sensor fusion network may use outputs from a plurality of machine learning models as input to generate a fused output that represents data from fields of view or sensory fields of each of the sensors supplying the machine learning models, while accounting for learned associations between boundary or overlap regions of the various fields of view of the source sensors. In this way, the fused output may be less likely to include duplicate, inaccurate, or noisy data with respect to objects or features in the environment, as the fusion network may be trained to account for multiple instances of a same object appearing in different input representations.

公开(公告)号：WO2023275568A1

公开(公告)日：2023-01-05

申请号：PCT/GB2022/051710

申请日：2022-07-01

申请人： THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE

发明人： GLEADALL, Nicholas Stephen ,  ROBERTS, Michael Thomas

IPC分类号： G16H50/70 ,  G16H50/20 ,  G16H10/40 ,  G06K9/00 ,  G16H20/10 ,  G06V10/454 ,  G06V10/82 ,  G06V2201/03 ,  G16H50/80

摘要： Herein disclosed is a method of preparing a model to detect health and ill-health related characteristics in complete blood counts (CBC) data. The method comprises receiving CBC data from one or more data sources, where the CBC data comprise raw and rich data; encoding CBC data using one or more machine-learning algorithms; training classifier for biological traits based on the encoded CBC data, where the biological traits comprise disease phenotypes; and outputting the model comprising the trained classifier.

公开(公告)号：WO2022054009A2

公开(公告)日：2022-03-17

申请号：PCT/IB2021/058273

申请日：2021-09-11

申请人： ASTRAZENECA UK LIMITED ,  DAIICHI SANKYO COMPANY, LIMITED

发明人： SCHMIDT, Guenter ,  BRIEU, Nicolas ,  SPITZMUELLER, Andreas ,  KAPIL, Ansh

IPC分类号： G06K9/00 ,  G06K9/62 ,  G06K9/46 ,  G06K9/6271 ,  G06V10/454 ,  G06V10/751 ,  G06V20/698

摘要： A method for predicting how a cancer patient will respond to an antibody drug conjugate (ADC) therapy involves computing a predictive response score based on single-cell ADC scores for each cancer cell. The ADC includes an ADC payload and an ADC antibody that targets a protein on each cancer cell, wherein the protein is human epidermal growth factor receptor 2 (HER2). A tissue sample is immunohistochemically stained using a dye linked to a diagnostic antibody that binds to the protein on cancer cells in the tissue sample. Cancer cells in a digital image of the tissue are detected. For each cancer cell, a single-cell ADC score is computed based on the staining intensities of the dye in the membrane and/or cytoplasm of the cancer cell and/or in the membranes and cytoplasms of neighboring cancer cells. The response of the cancer patient to the ADC therapy is predicted by aggregating all single-cell ADC scores of the tissue sample using a statistical operation.

公开(公告)号：WO2022013056A1

公开(公告)日：2022-01-20

申请号：PCT/EP2021/068987

申请日：2021-07-08

申请人： SONY SEMICONDUCTOR SOLUTIONS CORPORATION ,  SONY EUROPE B.V.

发明人： MARKHASIN, Lev ,  TIEDEMANN, Stephen ,  UHLICH, Stefan ,  WANG, Bi

IPC分类号： H04N21/8358 ,  G06F21/16 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/0472 ,  G06N3/088 ,  G06V10/454 ,  G06V20/70 ,  H04L2209/38 ,  H04L2209/608 ,  H04L9/3239

摘要： An image processing circuitry configured to: generate, based on obtained image data, a visual content word sequence indicative for a visual content of an image represented by the obtained image data; and generate, based on the generated visual content word sequence, an image signature for the image.

公开(公告)号：WO2021252045A1

公开(公告)日：2021-12-16

申请号：PCT/US2021/023693

申请日：2021-03-23

申请人： MICROSOFT TECHNOLOGY LICENSING, LLC

发明人： PRICE, Raymond Kirk ,  BLEYER, Michael ,  LEVINE, Evan Gregory

IPC分类号： G06F16/487 ,  G06F16/587 ,  G06K9/00 ,  G01C11/06 ,  G01S19/48 ,  G01S19/396 ,  G01S19/485 ,  G06F16/909 ,  G06K9/6256 ,  G06K9/6271 ,  G06V10/22 ,  G06V10/40 ,  G06V10/454 ,  G06V10/82 ,  G06V10/98 ,  G06V20/13 ,  G06V20/17 ,  G06V20/194 ,  G06V20/20

摘要： A method of automatically geolocating a visual target. The method comprises operating a flying vehicle in a search region including the visual target. The method further includes affirmatively identifying a visual target in an aerial photograph of the search region captured by the flying vehicle. The method further includes automatically correlating the aerial photograph of the search region to a geo-tagged photograph of the search region, wherein the geo-tagged photograph is labelled with pre-defined geospatial coordinates. Based on such automatic correlation, a geospatial coordinate is determined for the visual target in the search region.

公开(公告)号：WO2021242584A1

公开(公告)日：2021-12-02

申请号：PCT/US2021/033106

申请日：2021-05-19

申请人： PAYPAL, INC.

发明人： ZHANG, Jiyi

IPC分类号： G06K9/00 ,  G06K9/62 ,  A61B5/00 ,  G06N3/08 ,  H01J49/00 ,  G06K9/6256 ,  G06K9/6274 ,  G06N3/0454 ,  G06T1/005 ,  G06T2201/0063 ,  G06V10/454 ,  G06V10/82

摘要： Systems, methods, and computer program products for determining an attack on a neural network. A data sample is received at a first classifier neural network and at a watermark classifier neural network, wherein the first classifier neural network is trained using a first dataset and a watermark dataset. The first classifier neural network determines a classification label for the data sample. A watermark classifier neural network determines a watermark classification label for the data sample. A data sample is determined as an adversarial data sample based on the classification label for the data sample and the watermark classification label for the data sample.

公开(公告)号：WO2023059962A1

公开(公告)日：2023-04-13

申请号：PCT/US2022/075542

申请日：2022-08-26

申请人： QUALCOMM INCORPORATED

发明人： PARK, Hee Jun ,  GOEL, Abhinav ,  KANG, Young Hoon

IPC分类号： G06V10/44 ,  G06V10/62 ,  G06V10/82 ,  G06V10/96 ,  G06V10/20 ,  G06V10/255 ,  G06V10/454

摘要： Systems and techniques are provided for vision perception processing. An example method can include determining an attention demand score or characteristic per region of a frame from a sequence of frames; generating attention votes per region of the frame based on the attention demand score or characteristic per region, the attention votes per region providing attention demands and/or attention requests; determining an attention score or characteristic per region of the frame based on a number of attention votes from one or more computer vision functions; based on the attention score or characteristic per region of the frame, selecting one or more regions of the frame for processing using a neural network; and detecting or tracking one or more objects in the one or more regions of the frame based on processing of the one or more regions using the neural network.