ToM: Boosting TextVQA by capturing text-oriented keypoints

Key Points

• TextVQA significantly improves by incorporating text-oriented keypoints for better accuracy.
• Capturing keypoints enhances the model's ability to understand and process text in images effectively.
• The approach utilizes advanced image processing techniques to refine visual question answering tasks.
• This study highlights the necessity of integrating keypoints for future advancements in text recognition models.