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Found 3 papers, 2 papers with code
Efficiently Leveraging Linguistic Priors for Scene Text Spotting
This paper proposes a method that leverages linguistic knowledge from a large text corpus to replace the traditional one-hot encoding used in auto-regressive scene text spotting and recognition models.
OSCaR: Object State Captioning and State Change Representation
To address these challenges, in this paper, we introduce the Object State Captioning and State Change Representation (OSCaR) dataset and benchmark.
Dictionary-Guided Scene Text Recognition
Language prior plays an important role in the way humans perceive and recognize text in the wild.
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