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Symmetrical Linguistic Feature Distillation with CLIP for Scene Text Recognition
In this paper, we explore the potential of the Contrastive Language-Image Pretraining (CLIP) model in scene text recognition (STR), and establish a novel Symmetrical Linguistic Feature Distillation framework (named CLIP-OCR) to leverage both visual and linguistic knowledge in CLIP.
Linguistic More: Taking a Further Step toward Efficient and Accurate Scene Text Recognition
Vision model have gained increasing attention due to their simplicity and efficiency in Scene Text Recognition (STR) task.
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