Invention Grant
- Patent Title: Scene text detection method and system based on sequential deformation
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Application No.: US17407549Application Date: 2021-08-20
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Publication No.: US12080084B2Publication Date: 2024-09-03
- Inventor: Liangrui Peng , Shanyu Xiao , Ruijie Yan , Gang Yao , Shengjin Wang , Jaesik Min , Jong Ub Suk
- Applicant: Tsinghua University , HYUNDAI MOTOR COMPANY , Kia Corporation
- Applicant Address: CN Beijing
- Assignee: TSINGHUA UNIVERSITY,HYUNDAI MOTOR COMPANY,KIA CORPORATION
- Current Assignee: TSINGHUA UNIVERSITY,HYUNDAI MOTOR COMPANY,KIA CORPORATION
- Current Assignee Address: CN Beijing; KR Seoul; KR Seoul
- Agency: MORGAN, LEWIS & BOCKIUS LLP
- Priority: CN 2010853196.4 2020.08.22
- Main IPC: G06V20/62
- IPC: G06V20/62 ; G06F18/214 ; G06N3/04 ; G06N3/084 ; G06V10/22 ; G06V10/40 ; G06V30/10

Abstract:
A method and a system for detecting a scene text may include extracting a first feature map for a scene image input based on a convolutional neural network, and delivering the first feature map to a sequential deformation module; obtaining sampled feature maps corresponding to sampling positions by performing iterative sampling for the first feature map, obtaining a second feature map by performing a concatenation operation in deep learning according to a channel dimension for the first feature map and the sampled feature maps; obtaining a third feature map by performing a feature aggregation operation for the second feature map in the channel dimension, and delivering the third feature map to the object detection baseline network; and performing text area candidate box extraction for the third feature map and obtaining a text area prediction result as a scene text detection result through regression fitting.
Public/Granted literature
- US20220058420A1 SCENE TEXT DETECTION METHOD AND SYSTEM BASED ON SEQUENTIAL DEFORMATION Public/Granted day:2022-02-24
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