SA$^3$WT: Adaptive Wavelet-Based Transformer with Self-Paced Auto Augmentation for Face Forgery Detection
- 16 May 2024
- journal article
- research article
- Published by Springer Nature in International Journal of Computer Vision
- Vol. 132 (10) , 4417-4439
Abstract
No abstract availableKeywords
This publication has 93 references indexed in Scilit:
- UIA-ViT: Unsupervised Inconsistency-Aware Method Based on Vision Transformer for Face Forgery Detection2022
- Faster AutoAugment: Learning Augmentation Strategies Using Backpropagation2020
- Differentiable Automatic Data Augmentation2020
- What Makes Fake Images Detectable? Understanding Properties that Generalize2020
- Improving 3D Object Detection Through Progressive Population Based Augmentation2020
- Two-Branch Recurrent Network for Isolating Deepfakes in Videos2020
- Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues2020
- FDFtNet: Facing Off Fake Images Using Fake Detection Fine-Tuning Network2020
- GANimation: Anatomically-Aware Facial Animation from a Single Image2018
- Temporal Segment Networks: Towards Good Practices for Deep Action Recognition2016