Confidence-based segmentation of multiple units
AssigneeEmbodied Intelligence Inc.
InventorsYuXuan Liu, Xi Chen, Nikhil Mishra
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AssigneeEmbodied Intelligence Inc.
InventorsYuXuan Liu, Xi Chen, Nikhil Mishra
Estimating the term…
Various embodiments of the present technology generally relate to robotic devices and artificial intelligence. More specifically, some embodiments relate to modeling uncertainty in neural network segmentation predictions of imaged scenes having a plurality of objects. In some embodiments, a computer vision system for guiding robotic picking utilizes a method for uncertainty modeling that comprises receiving one or more images of a scene comprising a plurality of distinct objects, generating a plurality of segmentation predictions each comprising one or more object masks, identifying a predefined confidence requirement, wherein the confidence requirement identifies a minimum amount of required agreement for a region, and outputting one or more object masks based on the confidence requirement. The systems and methods disclosed herein leverage the use of a plurality of hypotheses to create a distribution of possible segmentation outcomes in order model uncertainty associated with image segmentation.
A method of operating an image segmentation system, the method comprising:
A system comprising:
One or more computer-readable storage media having program instructions stored thereon to generate segmentation predictions, wherein the program instructions, when read and executed by a processing system, direct the processing system to at least:
Dependencies are inferred from the claim text.