Noisy-Aware Unsupervised Domain Adaptation for Scene Text Recognition
Unsupervised Domain Adaptation (UDA) has shown promise in Scene Text Recognition (STR) by facilitating knowledge transfer from labeled synthetic text (source) to more challenging unlabeled real scene text (target). However, existing UDA-based STR methods fully rely on the pseudo-labels of target sam...
Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 12., Seite 6550-6563 |
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Auteur principal: | |
Autres auteurs: | , , , |
Format: | Article en ligne |
Langue: | English |
Publié: |
2024
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Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
Sujets: | Journal Article |
Accès en ligne |
Volltext |