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Exploring Sparse Spatial Relation in Graph Inference for Text-Based VQA (IEEE TIP'2023)

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SSGN

This repository contains the key code for IEEE TIP 2023 paper: Exploring Sparse Spatial Relation in Graph Inference for Text-Based VQA

image

The framework of Sparse Spatial Graph Network (SSGN).

Citation

If you find SSGN useful for your research and applications, please cite using this BibTeX:

@article{zhou2023exploring,
  title={Exploring sparse spatial relation in graph inference for text-based vqa},
  author={Zhou, Sheng and Guo, Dan and Li, Jia and Yang, Xun and Wang, Meng},
  journal={IEEE Transactions on Image Processing},
  year={2023},
  publisher={IEEE}
}
}

Acknowledgements

This work is based on M4C and CRN.

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Exploring Sparse Spatial Relation in Graph Inference for Text-Based VQA (IEEE TIP'2023)

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