
The core message of this paper is that by fusing visual and relational features of text segments, and using a novel shape approximation strategy, bottom-up methods can outperform state-of-the-art top-down approaches for arbitrary-shape scene text detection.


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improving-arbitrary-shape-scene-text-detection-with-visual-relational-rectification-and-contour-approximation


Improving Arbitrary-shape Scene Text Detection with Visual-Relational Rectification and Contour Approximation


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The proposed MorphText approach effectively embeds deep morphology to regularize text segments, addressing the issues of false text segment detections and missing linkages between text segments in bottom-up arbitrary-shape scene text detection methods.


accurate-arbitrary-shape-scene-text-detection-using-deep-morphology-regularization


Accurate Arbitrary-shape Scene Text Detection using Deep Morphology Regularization
