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Optical Character Recognition

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TitleStatusHype
Task-driven real-world super-resolution of document scans—0
Task-driven single-image super-resolution reconstruction of document scans—0
Telugu OCR Framework using Deep Learning—0
TEXT2TASTE: A Versatile Egocentric Vision System for Intelligent Reading Assistance Using Large Language Model—0
Text-Aware Dual Routing Network for Visual Question Answering—0
TextCaps: a Dataset for Image Captioning with Reading Comprehension—0
Text Change Detection in Multilingual Documents Using Image Comparison—0
Text Extraction and Retrieval from Smartphone Screenshots: Building a Repository for Life in Media—0
Text Extraction From Texture Images Using Masked Signal Decomposition—0
TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text—0
TextSR: Diffusion Super-Resolution with Multilingual OCR Guidance—0
TFIC: End-to-End Text-Focused Image Compression for Coding for Machines—0
The Monge-Kantorovich Optimal Transport Distance for Image Comparison—0
To show or not to show: Redacting sensitive text from videos of electronic displays—0
Toward accessible comics for blind and low vision readers—0
Toward a Period-Specific Optimized Neural Network for OCR Error Correction of Historical Hebrew Texts—0
Towards Accessible Learning: Deep Learning-Based Potential Dysgraphia Detection and OCR for Potentially Dysgraphic Handwriting—0
Towards Calibration Enhanced Network by Inverse Adversarial Attack—0
Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering—0
Towards Multimodal Vision-Language Models Generating Non-Generic Text—0
Towards reducing hallucination in extracting information from financial reports using Large Language Models—0
Toward Zero-shot Character Recognition: A Gold Standard Dataset with Radical-level Annotations—0
Training \& Quality Assessment of an Optical Character Recognition Model for Northern Haida—0
Transfer Learning Approach for Railway Technical Map (RTM) Component Identification—0
Transformer-Based UNet with Multi-Headed Cross-Attention Skip Connections to Eliminate Artifacts in Scanned Documents—0
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