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Found 3 papers, 1 papers with code
Quantum Image Segmentation Based on Grayscale Morphology
The classical image segmentation algorithm based on grayscale morphology can effectively segment images with uneven illumination, but with the increase of the image data, the real-time problem will emerge.
The Short Text Matching Model Enhanced with Knowledge via Contrastive Learning
The model uses a generative model to generate corresponding complement sentences and uses the contrastive learning method to guide the model to obtain more semantically meaningful encoding of the original sentence.
Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition
However, for the current state-of-the-art(SOTA) methods, there is room for improvement in terms of the efficient usage of local visual and global context information of the input text image, as well as the robust correlation between the scene processing module(encoder) and the text processing module(decoder).
Ranked #14 on
Scene Text Recognition
on ICDAR2015
