Invention Grant
- Patent Title: Sampling latent variables to generate multiple segmentations of an image
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Application No.: US16881775Application Date: 2020-05-22
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Publication No.: US11430123B2Publication Date: 2022-08-30
- Inventor: Simon Kohl , Bernardino Romera-Paredes , Danilo Jimenez Rezende , Seyed Mohammadali Eslami , Pushmeet Kohli , Andrew Zisserman , Olaf Ronneberger
- Applicant: DeepMind Technologies Limited
- Applicant Address: GB London
- Assignee: DeepMind Technologies Limited
- Current Assignee: DeepMind Technologies Limited
- Current Assignee Address: GB London
- Agency: Fish & Richardson P.C.
- Main IPC: G06T7/10
- IPC: G06T7/10 ; A61B5/00 ; G06T7/00

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a plurality of possible segmentations of an image. In one aspect, a method comprises: receiving a request to generate a plurality of possible segmentations of an image; sampling a plurality of latent variables from a latent space, wherein each latent variable is sampled from the latent space in accordance with a respective probability distribution over the latent space that is determined based on the image; generating a plurality of possible segmentations of the image, comprising, for each latent variable, processing the image and the latent variable using a segmentation neural network having a plurality of segmentation neural network parameters to generate the possible segmentation of the image; and providing the plurality of possible segmentations of the image in response to the request.
Public/Granted literature
- US20200372654A1 SAMPLING LATENT VARIABLES TO GENERATE MULTIPLE SEGMENTATIONS OF AN IMAGE Public/Granted day:2020-11-26
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