Nova Patents
IL285121A

Deep learning system for cuboid detection

Abstract

This record has no abstract on file.

IL285121A, drawing sheet 1
Sheet 1 of 20

Term

No projected expiry on record.

  1. Priority
  2. Filed
  3. Published
  4. Today

20 claims: 2 independent, 18 dependent

  1. 1
    A system comprising:non-transitory memory configured to store executable instructions, and one or more hardware processors in communication with the nontransitory memory, the one or more hardware processors programmed by the executable instructions to: access an image;generate a convolutional feature map based at least in part on a first convolutional neural network (CNN) and the image;determine at least one region of interest (RoI) based at least in part on a region proposal network (RPN), wherein the RoI comprises a cuboid at a cuboid image location of the image;determine a submap of the convolutional feature map corresponding to the RoI based at least in part on a pooling layer and the cuboid image location;and determine a refined RoI at a refined cuboid image location and a representation of the cuboid based at least in part on at least one regressor layer and the submap of the convolutional feature map corresponding to the RoI.
  2. 15
    A method for cuboid detection and keypoint localization comprising, under control of a one or more hardware processors:accessing an image;generating a convolutional feature map based at least in part on a first convolutional neural network (CNN) and the image;determining at least one region of interest (RoI) based at least in part on a region proposal network (RPN) of a cuboid detector, wherein the RoI includes a cuboid at a cuboid image location of the image;determining a submap of the convolutional feature map corresponding to the RoI based at least in part on a pooling layer of the cuboid detector and the cuboid image location;and determining a refined RoI at a refined cuboid image location and the representation of the cuboid based at least in part on at least one regressor layer of the cuboid detector and the submap of the convolutional feature map corresponding to the RoI.
Independent claims2