May 8, 2023, 12:46 a.m. | Yuzhong Zhao, Weijia Wu, Zhuang Li, Jiahong Li, Weiqiang Wang

cs.CV updates on arXiv.org arxiv.org

Current video text spotting methods can achieve preferable performance,
powered with sufficient labeled training data. However, labeling data manually
is time-consuming and labor-intensive. To overcome this, using low-cost
synthetic data is a promising alternative. This paper introduces a novel video
text synthesis technique called FlowText, which utilizes optical flow
estimation to synthesize a large amount of text video data at a low cost for
training robust video text spotters. Unlike existing methods that focus on
image-level synthesis, FlowText concentrates on …

arxiv cost data flow labeling labor low novel optical flow paper performance synthesis synthetic synthetic data text text synthesis training training data video

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