63 citations · 144 across the 16 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.CV2022★ 11 cited
Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection
Jingqun Tang, Wenqing Zhang, Hongye Liu +4
Recently, transformer-based methods have achieved promising progresses in object detection, as they can eliminate the post-processes like NMS and enrich the deep representations. H…