Awesome

Transformer-Based Multi-modal Proposal and Re-Rank for Wikipedia Image-Caption Matching

This repo contains the code for reproducing the results obtained by our team FanDani at the Wikipedia Image/Caption Matching Challenge.

Updates

• 25/03/2022: Our paper Transformer-Based Multi-modal Proposal and Re-Rank for Wikipedia Image-Caption Matching has been accepted at the Wiki-M3L workshop, colocated with ICLR 2022.
• 31/03/2022: The code is publicly released!

Organization

This repo is organized into two modules, as explained in the paper:

• The The Multi-modal Caption Proposal (MCProp) network, which uses k-nn in a shared image-caption space to efficiently retrieve the top-k captions given image data;
• The Caption Re-Rank (CRank) network, which uses a large pre-trained textual transformer to exhaustively and effectively score the captions proposed by the MCProp network.

These are two separate modules located in the mcprop and crank folders respectively. You can find installation and run instructions in the README.md files inside these folders.

Citation

If you find this work useful for your research, please cite our paper:

@article{messina2022transformer,
  title={Transformer-Based Multi-modal Proposal and Re-Rank for Wikipedia Image-Caption Matching},
  author={Messina, Nicola and Coccomini, Davide Alessandro and Esuli, Andrea and Falchi, Fabrizio},
  journal={arXiv e-prints},
  pages={arXiv--2206},
  year={2022}
}