Hyundai Motor Company

Tsinghua University

Kia Corporation

Jaesik Min

Gang Yao

Liangrui Peng

Shengjin Wang

Shanyu Xiao

Jong Ub Suk

Ruijie Yan

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.

Scene text detection method and system based on sequential deformation

Growing community of inventors

Gyeonggi, South Korea

Jaesik Min