method: DB_threshold2_TRBA_CocoValid2022-07-20

Authors: Yoonsik Kim, Taeho Kil, Seonghyeon Kim, Sukmin Seo

Affiliation: Clova AI OCR Team, NAVER/LINE Corp.

Description: The detector is based on Differentiable Binarization [1]. The recognizer is TRBA from WIW [2].
TRBA denotes TPS + ResNet Backbone + BiLSTM + Attention. The models were not jointly trained. Since DB does not output upvector, we rotated the detected region according to the aspect ratio. Cocotext has label noises (not case sensitive), and thus, we cleansed the dataset using the teacher model. Therefore, we used synthetic dataset (ST) and challenge-provided real datasets.