method: FOTS2018-01-22

Authors: Xuebo Liu, Ding Liang, Shi Yan, Dagui Chen, Yu Qiao, Junjie Yan

Description: A unified end-to-end trainable Fast Oriented Text Spotting (FOTS) network for simultaneous detection and recognition, sharing computation and visual information among the two complementary tasks.

method: AIX Lab., LG Electronics 2021-02-05

Authors: Wonju Lee and Joseph Lim

Affiliation: AI Lab., Future Tech. Center, CTO, LG Electronics


Description: We reimplemented the end-to-end text spotting method combined the Mask TextSpotter with Deformable ConvNets. We tried to pre-train synthText images for character-level annotations and to fine-tune real world images like following papers for the generalization. We don't use any private data.

Ranking Table

Description Paper Source Code
2021-02-05AIX Lab., LG Electronics 92.76%96.13%94.41%

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