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:
Apr. 21, 2025

Filed:

Apr. 29, 2024
Applicant:

Southeast University, Nanjing, CN;

Inventors:

Hao Chen, Nanjing, CN;

Haoran Zhou, Nanjing, CN;

Assignee:

SOUTHEAST UNIVERSITY, Nanjing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/75 (2021.12); G06V 10/77 (2021.12); G06V 10/82 (2021.12);
U.S. Cl.
CPC ...
G06V 10/755 (2021.12); G06V 10/7715 (2021.12); G06V 10/82 (2021.12);
Abstract

A method and system for quantifying semantic variance between neural network representations is provided. Two neural network representations to be compared are first extracted, the weight of each filter in an intermediate layer corresponding to each semantic concept is learned on a reference dataset using the Net2Vec method, then set IoU of each representation for all semantic concepts in the reference dataset are calculated, and finally variance between the set IoU of the two representations for all the semantic concepts are integrated to obtain semantic variance between the two neural network representations. The method solves the problem of lack of accurate measurement on the variance between neural network representations on a semantic information level, and has an accurate measurement effect.


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