- Deepfake Detection Based on the Adaptive Fusion of Spatial ...🔍
- Deepfake Detection Based on the Adaptive Fusion of Spatial🔍
- Fake Face Detection Based on Fusion of Spatial Texture and High ...🔍
- The filters we chose for getting residual images.🔍
- Deepfake detection🔍
- Deepfake Video Detection Based on Spatial🔍
- Dynamic Graph Learning With Content|Guided Spatial|Frequency ...🔍
- DeepFake detection based on high|frequency enhancement ...🔍
Deepfake Detection Based on the Adaptive Fusion of Spatial
Deepfake Detection Based on the Adaptive Fusion of Spatial ...
Finally, we fuse this composite frequency domain feature with the color features in the spatial domain using an adaptive feature fusion module.
(PDF) Deepfake Detection Based on the Adaptive Fusion of Spatial ...
identifying deepfake images across diverse forgery techniques. Keywords: adaptive fusion; deepfake detection; spatial and frequency ...
Deepfake Detection Based on the Adaptive Fusion of Spatial
Finally, we fuse this composite frequency domain feature with the color features in the spatial domain using an adaptive feature fusion module. Te resulting ...
Deepfake Detection Based on the Adaptive Fusion of Spatial ...
Connected Papers is a visual tool to help researchers and applied scientists find academic papers relevant to their field of work.
Fake Face Detection Based on Fusion of Spatial Texture and High ...
This paper explores the artifacts left by Deepfakes in various domains and, based on this exploration, proposes a detection method that utilizes the ...
The filters we chose for getting residual images. - ResearchGate
from publication: Deepfake Detection Based on the Adaptive Fusion of Spatial-Frequency Features | Detecting deepfake media remains an ongoing challenge ...
Deepfake detection: Enhancing performance with spatiotemporal ...
The features are fed to a compact transformer-based model. Liu X et al. (2023) [50] use feature fusion of audio, video, and multi-scale spatial artifacts.
Deepfake Video Detection Based on Spatial, Spectral, and ...
We use these models' final layer of features concatenated with spectrogram features and visual spectral features in a complex fusion into multiple Long ...
MFF-Net: Deepfake Detection Network Based on Multi-Feature Fusion
Detection methods based on the spatial domain are strongly ... Then, we apply adaptive pooling in patches to downsample F L t. and ...
Dynamic Graph Learning With Content-Guided Spatial-Frequency ...
adaptive extraction-multiscale enhancement-graph fusion paradigm for deepfake ... Rudimentary deepfake detection approaches base pri- marily on obvious ...
DeepFake detection based on high-frequency enhancement ...
Additionally, we design a Two-Stage Cross-Fusion strategy to simulate the complementarity between different domains. •. The adaptive frequency- ...
Spatiotemporal Inconsistency Learning and Interactive Fusion for ...
... based DeepFake Video Detection. In 2020 ... Existing video-based detection methods observe local spatial regions with the coarse temporal ...
Exposing Deepfake Face Forgeries With Guided Residuals
In this work, we propose an adaptive fusion based guided residuals network (AdapGRnet), which fuses spatial- domain and residual-domain features in a ...
Deepfake Generation and Detection: A Benchmark and Survey - arXiv
... based on deep learning: A review,” Information Fusion, 2023. ... Wu, “Sara: Controllable makeup transfer with spatial alignment and region- ...
Fake face detection via adaptive manipulation traces extraction ...
An adaptive fusion based guided residuals network (AdapGRnet) is proposed, which fuses spatial-domain and residual-domain features in a mutually reinforcing ...
Exposing Deepfake Face Forgeries With Guided Residuals
For Deepfake detection, residual-based features can preserve tampering ... In this work, we propose an adaptive fusion based guided residuals network ...
Deepfake video detection: challenges and opportunities - SpringerLink
(2022) examined deepfake detection methods by categorising them into four distinct groups: approaches based on deep learning, traditional ...
Spatial-frequency feature fusion based deepfake detection through ...
In this work, we propose a novel Deepfake detection method that integrates spatial and frequency domain information within a knowledge distillation framework ...
An Approach to Deepfake Video Detection Based on ACO-PSO ...
Features from ACO-PSO are extracted from the spatial and temporal characteristics of video frames, capturing subtle patterns indicative of deepfake manipulation ...
Deepfake Video Detection Based on Improved CapsNet and ...
In this study, we propose iCapsNet–TSF, a deepfake video detection method based on improved CapsNet and the fusion of temporal–spatial features. The iCapsNet– ...