Dell products l.p. (20240203095). METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR VERIFYING CLASSIFICATION RESULT simplified abstract

METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR VERIFYING CLASSIFICATION RESULT

Organization Name

dell products l.p.

Inventor(s)

Jinpeng Liu of Shanghai (CN)

Zijia Wang of Weifang (CN)

Jiacheng Ni of Shanghai (CN)

Zhen Jia of Shanghai (CN)

METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR VERIFYING CLASSIFICATION RESULT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240203095 titled 'METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR VERIFYING CLASSIFICATION RESULT

The abstract of this patent application describes a method, device, and computer program product for verifying a classification result. The method involves obtaining clusters for training samples, determining the clustering class of an input image, acquiring a classification result, and verifying the reliability of the classification result based on the clustering class.

• Clustering feature representations of training samples using labels improves detection precision.
• Verification method combines domain-specific knowledge efficiently.
• Saves computational overhead and storage resources.
• Enables deployment in edge devices or IoT devices with limited computational power.
• Enhances the reliability of classification results.

1. 1. 1. Potential Applications:

This technology can be applied in various fields such as image recognition, object detection, and classification systems.

1. 1. 1. Problems Solved:

This technology addresses the need for reliable verification of classification results in machine learning models.

1. 1. 1. Benefits:

- Improved detection precision - Efficient use of domain-specific knowledge - Reduced computational overhead - Suitable for deployment in edge devices and IoT devices

1. 1. 1. Commercial Applications:

Title: "Enhanced Classification Verification Technology for Edge Devices" This technology can be utilized in security systems, surveillance cameras, autonomous vehicles, and industrial automation processes.

1. 1. 1. Prior Art:

Prior art related to this technology may include research on clustering algorithms, classification models, and verification methods in machine learning.

1. 1. 1. Frequently Updated Research:

Researchers are constantly exploring new clustering techniques, classification models, and verification methods to enhance the reliability of machine learning systems.

1. 1. 1. 1. Questions about Classification Verification Technology:

1. How does this technology improve the reliability of classification results? 2. What are the potential applications of this technology in real-world scenarios?

Original Abstract Submitted

embodiments of the present disclosure relate to a method, a device, and a computer program product for verifying a classification result. the method comprises: obtaining a plurality of clusters for training samples by clustering feature representations of the training samples using labels of the training samples; determining, based on the plurality of clusters, a clustering class to which an input image belongs; acquiring a classification result of a classification model for the input image; and verifying the degree of reliability of the classification result for the input image based on the clustering class and the classification result. in this manner, the verification according to embodiments of the present disclosure not only easily combines domain-specific knowledge and improves the detection precision, but also saves computational overhead and storage resources, thus enabling the solution to be deployed in edge devices or internet of things devices with limited computational power.