2 citations · 2 across the 1 of their papers we have counts for
3 papers
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…
cs.CL2020
Robustness Testing of Language Understanding in Task-Oriented Dialog
Jiexi Liu, Ryuichi Takanobu, Jiaxin Wen +6
Most language understanding models in task-oriented dialog systems are trained on a small amount of annotated training data, and evaluated in a small set from the same distribution…