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Scene text recognition with permuted autoregressive sequence models
Context-aware STR methods typically use internal autoregressive (AR) language models
(LM). Inherent limitations of AR models motivated two-stage methods which employ an …
(LM). Inherent limitations of AR models motivated two-stage methods which employ an …
Trocr: Transformer-based optical character recognition with pre-trained models
Text recognition is a long-standing research problem for document digitalization. Existing
approaches are usually built based on CNN for image understanding and RNN for char …
approaches are usually built based on CNN for image understanding and RNN for char …
Revisiting scene text recognition: A data perspective
This paper aims to re-assess scene text recognition (STR) from a data-oriented perspective.
We begin by revisiting the six commonly used benchmarks in STR and observe a trend of …
We begin by revisiting the six commonly used benchmarks in STR and observe a trend of …
Vision transformer for fast and efficient scene text recognition
R Atienza - International conference on document analysis and …, 2021 - Springer
Scene text recognition (STR) enables computers to read text in natural scenes such as
object labels, road signs and instructions. STR helps machines perform informed decisions …
object labels, road signs and instructions. STR helps machines perform informed decisions …