US Patent Application 18352336. TARGET DETECTION METHOD AND APPARATUS, MODEL TRAINING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM simplified abstract

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TARGET DETECTION METHOD AND APPARATUS, MODEL TRAINING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM

Organization Name

TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED

Inventor(s)

Ze Qun Jie of Shenzhen (CN)

TARGET DETECTION METHOD AND APPARATUS, MODEL TRAINING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18352336 titled 'TARGET DETECTION METHOD AND APPARATUS, MODEL TRAINING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUM

Simplified Explanation

The patent application describes a method and apparatus for detecting targets in images from different domains.

  • The method involves obtaining a first image and a corresponding second image from a different domain.
  • A cross-domain image detection model is used to obtain a detection result for the second image.
  • The detection result includes information about the location and class of the target object in the second image.
  • The cross-domain image detection model consists of a first network model that converts images from the first domain to the second domain, and a second network model that performs region localization on the images in the second domain.


Original Abstract Submitted

The disclosure provides a target detection method and apparatus, a model training method and apparatus, a device, and a storage medium. The target detection method includes: obtaining a first image; obtaining a second image corresponding to the first image, the second image belonging to a second domain; and obtaining a detection result corresponding to the second image through a cross-domain image detection model, the detection result including target localization information and target class information of a target object, the cross-domain image detection model including a first network model configured to convert an image from a first domain into an image in the second domain, and the second network model configured to perform region localization on the image in the second domain.

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