Ensemble Learning for Vietnamese Scene Text Spotting in Urban Environments

arXiv:2404.00852v1 Announce Type: cross
Abstract: This paper presents a simple yet efficient ensemble learning framework for Vietnamese scene text spotting. Leveraging the power of ensemble learning, which combines multiple models to yield more accurate predictions, our approach aims to significantly enhance the performance of scene text spotting in challenging urban settings. Through experimental evaluations on the VinText dataset, our proposed method achieves a significant improvement in accuracy compared to existing methods with an impressive accuracy of 5%. These results unequivocally …

abstract arxiv cs.cv cs.lg ensemble environments framework multiple paper performance power predictions simple text type urban