most citedPBFormer: Capturing Complex Scene Text Shape with Polynomial Band Transformer

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cs.CV2023★ 2 cited

PBFormer: Capturing Complex Scene Text Shape with Polynomial Band Transformer

Ruijin Liu, Ning Lu, Dapeng Chen +3

We present PBFormer, an efficient yet powerful scene text detector that unifies the transformer with a novel text shape representation Polynomial Band (PB). The representation has…

cs.CV2023

Self-distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach

Ziyin Zhang, Ning Lu, Minghui Liao +4

Text recognition methods are gaining rapid development. Some advanced techniques, e.g., powerful modules, language models, and un- and semi-supervised learning schemes, consecutive…