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SamsungGranted patentAI & softwareInterest 4/10

Samsung patents method to teach computers to label images without human help

Samsung has been granted a patent for a method that helps computers learn to divide images into distinct parts without needing humans to label the data first. The system creates its own rough labels using a process called clustering, then refines these guesses to improve accuracy. This approach allows the software to learn from raw images by comparing different sections against each other.

Why it mattersThis technique could make it easier and cheaper to train computer vision systems for tasks like object detection, as it reduces the need for large amounts of manually labeled data.

In the filing’s own words

Apparatuses and methods are provided for training a feature extraction model determining a loss function for use in unsupervised image segmentation. A method includes determining a clustering loss from an image; determining a weakly supervised contrastive loss of the image using cluster pseudo labels based on the clustering loss; and determining the loss function based on the clustering loss and the weakly supervised contrastive loss.

What exactly they claim (claim 1)

1. A method of training a feature extraction model by determining a loss function for use in unsupervised image segmentation, the method comprising: determining a clustering loss from an image; determining a weakly supervised contrastive loss of the image using cluster pseudo labels based on the clustering loss; determining a box sample loss of the image; and determining the loss function based on the clustering loss, the box sample loss, and the weakly supervised contrastive loss.

Facts

Company
Samsung (Samsung Electronics Co., Ltd.)
Official title
System and method for unsupervised learning of segmentation tasks
Patent number
US12743655B2
Application number
17825391
Filed
May 26, 2022
Granted
Sep 22, 2026
Inventors
3
Claims
16

Classified under

G06N 20/00 Physics & computingG06V 10/763 Physics & computingG06V 10/7715 Physics & computing
Read the full filing (official PDF) ↗ Open in the Patent Tracker

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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.