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Found 4 papers, 4 papers with code
Domain Conditional Predictors for Domain Adaptation
Domain adaptation approaches thus appeared as a useful framework yielding extra flexibility in that distinct train and test data distributions are supported, provided that other assumptions are satisfied such as covariate shift, which expects the conditional distributions over labels to be independent of the underlying data distribution.
Attention-based Extraction of Structured Information from Street View Imagery
We present a neural network model - based on CNNs, RNNs and a novel attention mechanism - which achieves 84. 2% accuracy on the challenging French Street Name Signs (FSNS) dataset, significantly outperforming the previous state of the art (Smith'16), which achieved 72. 46%.
Ranked #1 on
Optical Character Recognition (OCR)
on FSNS - Test
End-to-End Interpretation of the French Street Name Signs Dataset
We introduce the French Street Name Signs (FSNS) Dataset consisting of more than a million images of street name signs cropped from Google Street View images of France.
Ranked #3 on
Optical Character Recognition (OCR)
on FSNS - Test
Adapting the Tesseract Open Source OCR Engine for Multilingual OCR
We describe efforts to adapt the Tesseract open source OCR engine for multiple scripts and languages.
