OPTIMIZATIONS FOR DYNAMIC OBJECT INSTANCE DETECTION, SEGMENTATION, AND STRUCTURE MAPPING

    公开(公告)号:EP3493106A1

    公开(公告)日:2019-06-05

    申请号:EP18180861.9

    申请日:2018-06-29

    申请人: Facebook, Inc.

    IPC分类号: G06K9/00

    摘要: In one embodiment, a system may access an image and generate a feature map for the image using a neural network. The system may identify regions of interest in the feature map. Regional feature maps may be generated for the regions of interest, respectively. Each of the regional feature maps has a first, a second, and a third dimension. The system may generate a first combined regional feature map by combining the regional feature maps. The combined regional feature map has a first, a second, and a third dimension. The system may generate a second combined regional feature map by processing the first combined regional feature map using one or more convolutional layers. The system may generate, for each of the regions of interest, information associated with an object instance based on a portion of the second combined regional feature map associated with that region of interest.

    SYSTEMS AND METHOD FOR LOW BANDWIDTH VIDEO-CHAT COMPRESSION

    公开(公告)号:EP4002278A1

    公开(公告)日:2022-05-25

    申请号:EP21208617.7

    申请日:2021-11-16

    申请人: Facebook, Inc.

    IPC分类号: G06T9/00 H04N19/54

    摘要: A first device may receive, from a second device, a reference landmark map identifying locations of facial features of a user of the second device depicted in a reference image and a feature map, generated based on the reference image, representing an identity of the user. The first device may receive, from the second device, a current compressed landmark map based on a current image of the user and decompress the current compressed landmark map to generate a current landmark map. The first device may update the feature map based on a motion field generated using the reference landmark map and the current landmark map. The first device may generate scaling factors based on a normalization facial mask of predetermined facial features of the user. The first device may generate an output image of the user by decoding the updated feature map using the scaling factors.

    OPTIMIZATIONS FOR DYNAMIC OBJECT INSTANCE DETECTION, SEGMENTATION, AND STRUCTURE MAPPING

    公开(公告)号:EP3493104A1

    公开(公告)日:2019-06-05

    申请号:EP18177661.8

    申请日:2018-06-14

    申请人: Facebook, Inc.

    IPC分类号: G06K9/00

    摘要: In one embodiment, a system accesses pose probability models for predetermined parts of a body depicted in an image. Each of the pose probability models is configured for determining a probability of the associated predetermined body part being at a location in the image. The system determines a candidate pose that is defined by a set of coordinates representing candidate locations of the predetermined body parts. The system further determines a first probability score for the candidate pose based on the pose probability models and the set of coordinates of the candidate pose. A pose representation is generated for the candidate pose using a transformation model and the candidate pose. The system determines a second probability score for the pose representation based on a pose-representation probability model. The system selects the candidate pose to represent a pose of the body based on at least the first and second probability scores.

    OPTIMIZATIONS FOR DYNAMIC OBJECT INSTANCE DETECTION, SEGMENTATION, AND STRUCTURE MAPPING

    公开(公告)号:EP3493105A1

    公开(公告)日:2019-06-05

    申请号:EP18179593.1

    申请日:2018-06-25

    申请人: Facebook, Inc.

    IPC分类号: G06K9/00

    摘要: In one embodiment, a method includes a system accessing an image and generating a feature map using a first neural network. The system identifies a plurality of regions of interest in the feature map. A plurality of regional feature maps may be generated for the plurality of regions of interest, respectively. Using a second neural network, the system may detect at least one regional feature map in the plurality of regional feature maps that corresponds to a person depicted in the image, and generate a target region definition associated with a location of the person using the regional feature map. Based on the target region definition associated with the location of the person, a target regional feature map may be generated by sampling the feature map for the image. The system may process the target regional feature map to generate a keypoint mask and an instance segmentation mask.

    SYSTEM AND METHOD FOR DETERMINATION OF A DIGITAL DESTINATION BASED ON A MULTI-PART IDENTIFIER

    公开(公告)号:EP3477538A1

    公开(公告)日:2019-05-01

    申请号:EP18179602.0

    申请日:2018-06-25

    申请人: Facebook, Inc.

    IPC分类号: G06K9/00 G06K9/20 G06K9/32

    摘要: One general aspect includes a method, including: capturing an image of an object having a multi-part identifier displayed thereon, the multi-part identifier including a first portion and a second portion, the first portion including graphical content and the second portion including human-recognizable textual content. The method also includes based on the captured image, identifying a domain associated with the graphical content. The method also includes based on the captured image, identifying a sub-part of the domain associated with the textual content. The method also includes identifying a digital destination based on the identified domain and the identified sub-part. The method also includes performing an action based on the digital destination. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.