Nvidia patents method to sharpen object edges in image segmentation
Nvidia describes a technique for training neural networks to identify objects in images by focusing specifically on their edges. The system uses a specialized math formula that penalizes the network if it fails to match the exact boundary of an object, resulting in sharper and more accurate outlines.
In the filing’s own words
Apparatuses, systems, and techniques are presented to predict segmentations for objects in images. In at least one embodiment, a neural network is trained to determine one or more segmentation masks corresponding to one or more objects of one or more digital images based, at least in part, on one or more boundary regions of the one or more objects.
What exactly they claim (claim 1)
1. One or more processors, comprising: circuitry to: evaluate a boundary enhancement loss term and a segmentation loss term of a loss function, wherein: the boundary enhancement loss term comprises one or more loss values corresponding to one or more object boundary pixels and is determined based on a difference between one or more filtered predicted segmentation masks and one or more filtered ground truth segmentation masks; and the segmentation loss term comprises one or more loss values corresponding to one or more pixels within one or more objects; and optimize one or more neural networks based, at least in part, on the evaluation.
Facts
- Company
- Nvidia (Nvidia Corporation)
- Official title
- Image segmentation using one or more neural networks
- Patent number
- US12755388B2
- Application number
- 16856823
- Filed
- Apr 23, 2020
- Granted
- Oct 6, 2026
- Inventors
- 6
- Claims
- 41
Classified under
G06T 7/11 Physics & computingG06N 3/045 Physics & computingG06T 7/12 Physics & computingG06T 2207/20081 Physics & computingG06T 2207/20084 Physics & computingMore from Nvidia in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.
