Detecting Out-of-Context Media with LLaMa-Adapter V2 and RoBERTa: An Effective Method for Cheapfakes Detection-Reference-Cited by-同舟云学术

Detecting Out-of-Context Media with LLaMa-Adapter V2 and RoBERTa: An Effective Method for Cheapfakes Detection

Published:2024-05-30 Issue: Volume: Page:1282-1287
ISSN:
Container-title:Proceedings of the 2024 International Conference on Multimedia Retrieval
language:
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Author:

Vo-Hoang Hoa-Vien¹^ORCID,Pham Long-Khanh¹^ORCID,Dao Minh-Son²^ORCID

Affiliation:

1. University of Science & Vietnam National University, Ho Chi Minh City, Vietnam

2. National Institute of Information and Communications Technology, Tokyo, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3652583.3657596

Reference12 articles.

1. Shivangi Aneja, Chris Bregler, and Matthias Nießner. 2021. Cosmos: Catching out-of-context misinformation with self-supervised learning. arXiv preprint arXiv:2101.06278 (2021).

2. Shivangi Aneja, Cise Midoglu, Duc-Tien Dang-Nguyen, Sohail Ahmed Khan, Michael Riegler, Pål Halvorsen, Chris Bregler, and Balu Adsumilli. 2022. Acm multimedia grand challenge on detecting cheapfakes. arXiv preprint arXiv:2207.14534 (2022).

3. Duc-Tien Dang-Nguyen, Sohail Ahmed Khan, Cise Midoglu, Michael Riegler, Pål Halvorsen, and Minh-Son Dao. 2023. Grand Challenge On Detecting Cheapfakes. arXiv preprint arXiv:2304.01328 (2023).

4. Overview of the Grand Challenge on Detecting Cheapfakes at ACM ICMR 2024

5. Peng Gao Jiaming Han Renrui Zhang Ziyi Lin Shijie Geng Aojun Zhou Wei Zhang Pan Lu Conghui He Xiangyu Yue et al. 2023. Llama-adapter v2: Parameter-efficient visual instruction model. arXiv preprint arXiv:2304.15010 (2023).

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1. Overview of the Grand Challenge on Detecting Cheapfakes at ACM ICMR 2024;Proceedings of the 2024 International Conference on Multimedia Retrieval;2024-05-30