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ToM: Boosting TextVQA by capturing text-oriented keypoints | Synapse
March 3, 2026
ToM: Boosting TextVQA by capturing text-oriented keypoints
RY
Ruxue Yan
WG
Wenya Guo
ZL
Ziyu Lu
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Puntos clave
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.
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Cite This Study
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Yan et al. (Thu,) studied this question.
synapsesocial.com/papers/69a76793badf0bb9e87e1773
https://doi.org/https://doi.org/10.1016/j.knosys.2026.115480