Exploiting Modality-Specific Features for Multi-Modal Manipulation Detection and Grounding
Author:
Affiliation:
1. University of Science and Technology of China,School of Cyber Science and Technology
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10445798/10445803/10448385.pdf?arnumber=10448385
Reference22 articles.
1. The deepfake detection challenge (dfdc) dataset;Dolhansky,2020
2. Defending against neural fake news;Zellers;NeurIPS,2019
3. Towards Generalizable and Robust Face Manipulation Detection via Bag-of-feature
4. Learning Forgery Region-aware and ID-independent Features for Face Manipulation Detection
5. UIA-ViT: Unsupervised Inconsistency-Aware Method Based on Vision Transformer for Face Forgery Detection
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