Web: http://arxiv.org/abs/2205.04683

May 11, 2022, 1:10 a.m. | Youhui Guo, Yu Zhou, Xugong Qin, Enze Xie, Weiping Wang

cs.CV updates on arXiv.org arxiv.org

Recent scene text detection methods are almost based on deep learning and
data-driven. Synthetic data is commonly adopted for pre-training due to
expensive annotation cost. However, there are obvious domain discrepancies
between synthetic data and real-world data. It may lead to sub-optimal
performance to directly adopt the model initialized by synthetic data in the
fine-tuning stage. In this paper, we propose a new training paradigm for scene
text detection, which introduces an \textbf{UN}supervised \textbf{I}ntermediate
\textbf{T}raining \textbf{S}tage (UNITS) that builds a …

arxiv cv detection stage text training unsupervised

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