Official repository of Manga109Dialog (ICME 2024) | Paper | Dataset
- Manga109 dataset
- Download from http://www.manga109.org/en/download.html
- Manga109 Dialog annotation
- Download from https://github.com/manga109/public-annotations
Check README.md.
Check INSTALL.md for installation instructions.
# Training
bash comic_sgg.sh
# Test
bash comic_sgg_test.sh
# PredCls / SGCls
python evaluation_and_visualization/eval_original.py
# SGDet
python evaluation_and_visualization/eval_original_sgdet.py
The visualization tools for predictions can be found in evaluation_and_visualization/
.
- 1.visualize_PredCls_and_SGCls.ipynb
- 2.visualize_SGDet.ipynb
- 3.visualize_SGDet.ipynb
- 4.visualize_custom_SGDet.ipynb
When using annotations of Manga109Dialog, please cite our paper.
@inproceedings{li2024manga109dialog,
title={Manga109Dialog: A Large-scale Dialogue Dataset for Comics Speaker Detection},
author={Li, Yingxuan and Aizawa, Kiyoharu and Matsui, Yusuke},
booktitle={2024 IEEE International Conference on Multimedia and Expo (ICME)},
year={2024},
organization={IEEE}
}