3D data augmentation and dual-branch model for robust face forgery detection
We propose Dual-Branch Network (DBNet), a novel deepfake detection framework that addresses key limitations of existing works by jointly modeling 3D-temporal and fine-grained texture representations. Specifically, we aim to investigate how to (1) capture dynamic properties and spatial details in a u...
Saved in:
Main Authors: | Changshuang Zhou, Frederick W.B. Li, Chao Song, Dong Zheng, Bailin Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-03-01
|
Series: | Graphical Models |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1524070325000025 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Noise-attention-based forgery face detection method
by: Bolin ZHANG, et al.
Published: (2023-08-01) -
Survey on adversarial attacks and defense of face forgery and detection
by: Shiyu HUANG, et al.
Published: (2023-08-01) -
Lip forgery detection via spatial-frequency domain combination
by: Jiaying LIN, et al.
Published: (2022-12-01) -
Forgery face detection method based on multi-domain temporal features mining
by: Chuntao ZHU, et al.
Published: (2023-06-01) -
Modal-Guided Multi-Domain Inconsistency Learning for Face Forgery Detection
by: Zishuo Guo, et al.
Published: (2024-12-01)