The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 14, 2026

Filed:

Jun. 07, 2024
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Thang Doan, San Francisco, CA (US);

Sima Behpour, Sunnyvale, CA (US);

Xin Li, Sunnyvale, CA (US);

Wenbin He, Sunnyvale, CA (US);

Liang Gou, San Jose, CA (US);

Liu Ren, Saratoga, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/82 (2022.01); G06V 10/74 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06V 10/761 (2022.01);
Abstract

Methods and systems for Few-Shot Class-Incremental Learning (FSCIL) that utilizes a combination of Session Specific Prompts (SSP) and hyperbolic distance metrics to enhance session-wise learning and representation of image-text pairings across differing classes. The methods and systems include a base training session where both text and image features are projected into hyperbolic space for accurate class pairing using a cross-entropy loss function. Subsequent incremental sessions incorporate previously learned SSPs to retain and augment the separability of classes while minimizing the trainable parameters. This enhances performance in image-text classification tasks by leveraging a minimalistic approach, achieving higher accuracy with fewer trainable parameters compared to traditional models.


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