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Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text Retrieval.

, , , , , , , and . CoRR, (2024)

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PororoGAN: An Improved Story Visualization Model on Pororo-SV Dataset., , and . CSAI, page 155-159. ACM, (2019)A Cost-Efficient Framework for Scene Text Detection in the Wild., , , and . PRICAI (1), volume 13031 of Lecture Notes in Computer Science, page 139-153. Springer, (2021)TextBlock: Towards Scene Text Spotting without Fine-grained Detection., , , , , , , , and . ACM Multimedia, page 5892-5902. ACM, (2022)Feature Enhancement with Text-Specific Region Contrast for Scene Text Detection., , , , , , , and . PRCV (7), volume 14431 of Lecture Notes in Computer Science, page 3-14. Springer, (2023)TextBlockV2: Towards Precise-Detection-Free Scene Text Spotting with Pre-trained Language Model., , , , , , and . CoRR, (2024)Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering., , , , , , and . ICME, page 1-6. IEEE, (2022)Beyond OCR + VQA: Involving OCR into the Flow for Robust and Accurate TextVQA., , , and . ACM Multimedia, page 376-385. ACM, (2021)Filling in the Blank: Rationale-Augmented Prompt Tuning for TextVQA., , , , , , and . ACM Multimedia, page 1261-1272. ACM, (2023)Focus, Distinguish, and Prompt: Unleashing CLIP for Efficient and Flexible Scene Text Retrieval., , , , , , , and . CoRR, (2024)