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Device for handling anomaly detection and method

An anomaly detection and computing device technology, applied in image data processing, neural learning methods, instruments, etc., can solve problems such as reducing performance

Pending Publication Date: 2021-08-06
MOXA INC
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, complex background or content variants of normal and abnormal data reduce the performance of these methods

Method used

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  • Device for handling anomaly detection and method
  • Device for handling anomaly detection and method
  • Device for handling anomaly detection and method

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Embodiment Construction

[0010] figure 1 It is a schematic diagram of a computing device 10 according to Embodiment 1 of the present invention. The computing device 10 includes an encoder 100 and a training module 110 . In detail, the encoder 100 receives an input image, and generates a first latent vector (latent vector) (such as a latent code or a latent representation) according to the input image and at least one parameter of the encoder 100, wherein The first latent vector includes a semantic latent vector (such as a semantic latent code) and a visual appearance latent vector (such as a visual appearance latent vector). The training module 110 is coupled to the encoder 100 and receives an input image and a first latent vector. According to the input image, the first latent vector and the loss function, the training module 110 updates at least one first parameter of the encoder 100 .

[0011] Methods for anomaly detection can be divided into two types according to the way they are used to disti...

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Abstract

A computing device for handling anomaly detection, comprises an encoder, for receiving an input image, to generate a first latent vector comprising a semantic latent vector and a visual appearance latent vector according to the input image and at least one first parameter of the encoder; and a training module, coupled to the encoder, for receiving the input image and the first latent vector, to update the at least one first parameter according to the input image and the first latent vector and a loss function.

Description

【Technical field】 [0001] The present invention relates to a device and method for a multimedia system, in particular to a device and method for processing anomaly detection. 【Background technique】 [0002] Anomaly detection aims to distinguish normal data from abnormal data (such as abnormal samples) to solve the distribution mismatch problem. Anomaly detection has been applied to solve problems in several application domains, such as biomedical imaging, video surveillance, and automated optical inspection (AOI). Various methods for anomaly detection have been proposed to separate normal data from anomalous data. However, complex background or content variants of normal and abnormal data reduce the performance of these methods. Therefore, methods to handle anomaly detection and improve performance are still an urgent problem to be solved. 【Content of invention】 [0003] The present invention provides a method and its device for processing anomaly detection, so as to sol...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62
CPCG06T7/0002G06T2207/20081G06F18/2433G06F18/214G06N3/088G06N3/047G06N3/045G06F18/217G06F18/2155
Inventor 李威谕王钰强
Owner MOXA INC
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