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Spatio-Temporal Feature Pyramid Network for Deepfake Detection

https://doi.org/10.2139/ssrn.4507991
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-58517-4_42openalex-extracted
Neural Voice Puppetry: Audio-Driven Facial Reenactment
inferredcites →https://doi.org/10.1007/978-3-030-58565-5_10openalex-extracted
Fine-Grained Visual Classification via Progressive Multi-granularity Training of Jigsaw Patches
inferredcites →https://doi.org/10.1007/978-3-030-58571-6_39openalex-extracted
Two-Branch Recurrent Network for Isolating Deepfakes in Videos
inferredcites →https://doi.org/10.1109/btas46853.2019.9185974openalex-extracted
Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos
inferredcites →https://doi.org/10.1109/cvpr.2016.262openalex-extracted
Face2Face: Real-Time Face Capture and Reenactment of RGB Videos
inferredcites →https://doi.org/10.1109/cvpr.2019.00453openalex-extracted
A Style-Based Generator Architecture for Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.00977openalex-extracted
ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00296openalex-extracted
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00327openalex-extracted
Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00512openalex-extracted
Advancing High Fidelity Identity Swapping for Forgery Detection
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00582openalex-extracted
On the Detection of Digital Face Manipulation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00872openalex-extracted
CNN-Generated Images Are Surprisingly Easy to Spot… for Now
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00222openalex-extracted
Multi-attentional Deepfake Detection
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00361openalex-extracted
Improving the Efficiency and Robustness of Deepfakes Detection through Precise Geometric Features
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00500openalex-extracted
Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection
inferredcites →https://doi.org/10.1109/cvprw.2017.229openalex-extracted
Two-Stream Neural Networks for Tampered Face Detection
inferredcites →https://doi.org/10.1109/icassp.2019.8683164openalex-extracted
Exposing Deep Fakes Using Inconsistent Head Poses
inferredcites →https://doi.org/10.1109/icassp40776.2020.9053969openalex-extracted
SSTNet: Detecting Manipulated Faces Through Spatial, Steganalysis and Temporal Features
inferredcites →https://doi.org/10.1109/iccv.2019.00009openalex-extracted
FaceForensics++: Learning to Detect Manipulated Facial Images
inferredcites →https://doi.org/10.1109/iccv48922.2021.01477openalex-extracted
Exploring Temporal Coherence for More General Video Face Forgery Detection
inferredcites →https://doi.org/10.1109/icme51207.2021.9428361openalex-extracted
DefakeHop: A Light-Weight High-Performance Deepfake Detector
inferredcites →https://doi.org/10.1109/jstars.2022.3224558openalex-extracted
Fine-Grained Object Detection in Remote Sensing Images via Adaptive Label Assignment and Refined-Balanced Feature Pyramid Network
inferredcites →https://doi.org/10.1109/tbiom.2022.3201887openalex-extracted
Motion Magnified 3-D Residual-in-Dense Network for DeepFake Detection
inferredcites →https://doi.org/10.1109/tnnls.2022.3233063openalex-extracted
Detection of Deepfake Videos Using Long-Distance Attention
inferredcites →https://doi.org/10.1109/vcip49819.2020.9301763openalex-extracted
Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition
inferredcites →https://doi.org/10.1109/wifs.2018.8630761openalex-extracted
MesoNet: a Compact Facial Video Forgery Detection Network
inferredcites →https://doi.org/10.1109/wifs.2018.8630787openalex-extracted
In Ictu Oculi: Exposing AI Created Fake Videos by Detecting Eye Blinking
inferredcites →https://doi.org/10.1145/3306346.3323035openalex-extracted
Deferred neural rendering
inferredcites →https://doi.org/10.1145/3335203.3335724openalex-extracted
Exposing GAN-synthesized Faces Using Landmark Locations
inferredcites →https://doi.org/10.1145/3394171.3413570openalex-extracted
Emotions Don't Lie
inferredcites →https://doi.org/10.3390/fi13040093openalex-extracted
iCaps-Dfake: An Integrated Capsule-Based Model for Deepfake Image and Video Detection
inferredcites →https://doi.org/10.48550/arxiv.1504.08289openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1710.10196openalex-extracted
Progressive Growing of GANs for Improved Quality, Stability, and Variation
inferredcites →https://doi.org/10.48550/arxiv.1803.09179openalex-extracted
FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces
inferredcites →https://doi.org/10.48550/arxiv.1803.11276openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1811.00656openalex-extracted
Exposing DeepFake Videos By Detecting Face Warping Artifacts
inferredcites →https://doi.org/10.48550/arxiv.1904.00167openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1905.00582openalex-extracted
Recurrent Convolutional Strategies for Face Manipulation Detection in Videos
inferredcites →https://doi.org/10.48550/arxiv.1906.06876openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1909.12962openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1910.12467openalex-extracted
Use of a Capsule Network to Detect Fake Images and Videos
inferredcites →https://doi.org/10.48550/arxiv.1912.11035openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2001.03024openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2003.03836openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2003.06711openalex-extracted
Emotions Don't Lie: An Audio-Visual Deepfake Detection Method Using Affective Cues
inferredcites →https://doi.org/10.48550/arxiv.2003.08685openalex-extracted
Leveraging Frequency Analysis for Deep Fake Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.2004.02684openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2103.06929openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2104.04480openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2106.12832openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2202.03822openalex-extracted
A Novel Plug-in Module for Fine-Grained Visual Classification
inferredcites →https://doi.org/10.1109/iccv.2015.136openalex-snapshot
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks

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inferred← citeshttps://doi.org/10.54525/bbmd.1460699openalex-snapshot
Güncel Deepfake Video Algılama Yöntemleri Üzerine Bir Literatür İncelemesi
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