CapAlign: Improving Cross Modal Alignment via Informative Captioning for Harmful Meme Detection.
Junhui Ji|Xuanrui Lin|Usman Naseem
| Anthology ID: | DBLP:conf/www/JiLN24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 4585-4594 |
| URL: | https://doi.org/10.1145/3589334.3648146 |
| DOI: | https://doi.org/10.1145/3589334.3648146 |
| DBLP: | conf/www/JiLN24 |
| BibTeX: |
@inproceedings{ji-2024-capalign,
author = {Junhui Ji and
Xuanrui Lin and
Usman Naseem},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{CapAlign: Improving Cross Modal Alignment via Informative Captioning for Harmful Meme Detection}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {4585--4594},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3648146},
doi = {https://doi.org/10.1145/3589334.3648146}
}