TARGET DETECTION MODEL TRAINING METHOD AND APPARATUS, MAP GENERATION METHOD AND APPARATUS, AND DEVICE

WIPO Patent Application WO/2024/037552

A1

Disclosed in embodiments of the present disclosure are a target detection model training method and apparatus, a map generation method and apparatus, and a device. The target detection model training method comprises: acquiring training input data and corresponding first label data, wherein the training input data comprises training image data and/or training point cloud data, the first label data comprises ordered point sets respectively corresponding to a first number of instances in the training input data, and each ordered point set comprises a target number of coordinate points under a first coordinate system; and on the basis of the training input data, the first label data, a point-to-point loss function and a direction loss function, training a pre-established target detection network to obtain a target detection model. The target detection model obtained in the embodiments of the present disclosure can accurately and effectively predict ordered point sets respectively corresponding to instances, realizing the coordinate point-level prediction of the instances, and compared with instance box-level prediction, the embodiments of the present disclosure are beneficial to improving the precision of a prediction result.

LIAO BENCHENG (CN)
CHEN SHAOYU (CN)
CHENG TIANHENG (CN)
ZHANG QIAN (CN)

PCT/CN2023/113197

February 22, 2024

August 15, 2023

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BEIJING HORIZON INFORMATION TECH CO LTD (CN)

G06V20/56

CN115331188A	2022-11-11
CN114626437A	2022-06-14
CN114241313A	2022-03-25
CN110796230A	2020-02-14
CN111460984A	2020-07-28
US10803328B1	2020-10-13

BEIJING SIYUAN ZHIHUI INTELLECTUAL PROPERTY AGENCY (CN)

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