Super-pixel segmentation followed by an ensemble of CNN text detectors improves coverage and extraction accuracy on high-entropy e-commerce images compared with standard CNN baselines.
Text localization based on fast feature pyramids and multi-resolution maximally stable extremal regions
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Semi-Bagging Based Deep Neural Architecture to Extract Text from High Entropy Images
Super-pixel segmentation followed by an ensemble of CNN text detectors improves coverage and extraction accuracy on high-entropy e-commerce images compared with standard CNN baselines.