Text-based VQA Method by Team USTB-PRIR for Contextualized Attention-based Deep Network

"Team USTB-PRIR introduces a novel text-centric method for Text-based Visual Question Answering utilizing OCR context, semantic understanding, and machine reading comprehension. Their approach involves exploring OCR semantics, object-text relationships, and OCR answer prediction, achieving promising results in the ST-VQA Challenge."

• Visual Question Answering
• Text-based VQA
• Deep Learning
• Attention Mechanisms
• OCR

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