公开(公告)号：US12020425B2

公开(公告)日：2024-06-25

申请号：US18356229

申请日：2023-07-21

Applicant: CONTEMPORARY AMPEREX TECHNOLOGY CO., LIMITED

Inventor： Annan Shu ,  Can Chen ,  Jv Huang

IPC: G06T7/00

CPC classification number: G06T7/001 ,  G06T2207/20084 ,  G06T2207/20224

Abstract: Provided are a method and system for anomaly detection. The method includes: acquiring a picture of an object to be detected; inputting the acquired picture to each of a trained teacher network and a student network distilled from the teacher network, to obtain a feature map output by the teacher network and a feature map output by the student network, where the teacher network is trained by constructing a defective sample to learn feature distribution of normal samples from a pre-trained expert network; and determining a greatest anomalous pixel in a difference map between the feature map output by the teacher network and the feature map output by the student network as an anomaly value of the acquired picture, to output an anomaly detection result.

公开(公告)号：US20230368372A1

公开(公告)日：2023-11-16

申请号：US18356229

申请日：2023-07-21

Applicant: CONTEMPORARY AMPEREX TECHNOLOGY CO., LIMITED

Inventor： Annan Shu ,  Can Chen ,  Jv Huang

IPC: G06T7/00

CPC classification number: G06T7/001 ,  G06T2207/20084 ,  G06T2207/20224

Abstract: Provided are a method and system for anomaly detection. The method includes: acquiring a picture of an object to be detected; inputting the acquired picture to each of a trained teacher network and a student network distilled from the teacher network, to obtain a feature map output by the teacher network and a feature map output by the student network, where the teacher network is trained by constructing a defective sample to learn feature distribution of normal samples from a pre-trained expert network; and determining a greatest anomalous pixel in a difference map between the feature map output by the teacher network and the feature map output by the student network as an anomaly value of the acquired picture, to output an anomaly detection result.

公开(公告)号：US11804037B1

公开(公告)日：2023-10-31

申请号：US18332289

申请日：2023-06-09

Applicant: CONTEMPORARY AMPEREX TECHNOLOGY CO., LIMITED

Inventor： Guannan Jiang ,  Jv Huang ,  Chao Yuan

IPC: G06K9/00 ,  G06V10/82 ,  G06T5/00 ,  G06T7/00 ,  G06V10/771 ,  G06V20/70 ,  G06T7/12

CPC classification number: G06V10/82 ,  G06T5/002 ,  G06T7/0008 ,  G06T7/12 ,  G06V10/771 ,  G06V20/70 ,  G06T2207/20081 ,  G06T2207/20132

Abstract: The present application provides a method and a system for generating an image sample having a specific feature. The method includes: training a generative adversarial network-based sample generation model, where the generative adversarial network includes a generator and two discriminators: a global discriminator configured to perform global discrimination on an image, and a local discriminator configured to perform local discrimination on a specific feature; and inputting, to a trained generator that serves as a sample generation model, a semantic segmentation image that indicates a location of the specific feature and a corresponding real image not having the specific feature, to obtain a generated image sample having the specific feature.