16 citations · 25 across the 3 of their papers we have counts for
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cs.CV2022
Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition
Mingkun Yang, Minghui Liao, Pu Lu +5
Existing text recognition methods usually need large-scale training data. Most of them rely on synthetic training data due to the lack of annotated real images. However, there is a…
cs.CV2021★ 16 cited
Video Text Tracking With a Spatio-Temporal Complementary Model
Yuzhe Gao, Xing Li, Jiajian Zhang +5
Text tracking is to track multiple texts in a video,and construct a trajectory for each text. Existing methodstackle this task by utilizing the tracking-by-detection frame-work, i.…
cs.CV2021★ 9 cited
From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network
Yuxin Wang, Hongtao Xie, Shancheng Fang +3
In this paper, we abandon the dominant complex language model and rethink the linguistic learning process in the scene text recognition. Different from previous methods considering…