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Swin-Fake: A Consistency Learning Transformer-Based Deepfake Video Detector
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.asoc.2023.110124openalex-snapshot
AVFakeNet: A unified end-to-end Dense Swin Transformer deep learning model for audio–visual deepfakes detection
inferredcites →https://doi.org/10.1109/cscloud-edgecom49738.2020.00021openalex-snapshot
DeepfakeStack: A Deep Ensemble-based Learning Technique for Deepfake Detection
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.195openalex-snapshot
Xception: Deep Learning with Depthwise Separable Convolutions
inferredcites →https://doi.org/10.1109/cvpr.2019.00453openalex-snapshot
A Style-Based Generator Architecture for Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00327openalex-snapshot
Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00505openalex-snapshot
Face X-Ray for More General Face Forgery Detection
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00500openalex-snapshot
Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00572openalex-snapshot
Face Forensics in the Wild
inferredcites →https://doi.org/10.1109/cvprw56347.2022.00011openalex-snapshot
CORE: Consistent Representation Learning for Face Forgery Detection
inferredcites →https://doi.org/10.1109/icc45855.2022.9838630openalex-snapshot
A Heterogeneous Feature Ensemble Learning based Deepfake Detection Method
inferredcites →https://doi.org/10.1109/iccv48922.2021.00986openalex-snapshot
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
inferredcites →https://doi.org/10.1109/iccv48922.2021.01475openalex-snapshot
Learning Self-Consistency for Deepfake Detection
inferredcites →https://doi.org/10.1109/iccv48922.2021.01477openalex-snapshot
Exploring Temporal Coherence for More General Video Face Forgery Detection
inferredcites →https://doi.org/10.1109/iccvw54120.2021.00421openalex-snapshot
Towards Solving the DeepFake Problem : An Analysis on Improving DeepFake Detection using Dynamic Face Augmentation
inferredcites →https://doi.org/10.1109/icrai57502.2023.10089585openalex-snapshot
SWYNT: Swin Y-Net Transformers for Deepfake Detection
inferredcites →https://doi.org/10.1109/tifs.2023.3239223openalex-snapshot
ISTVT: Interpretable Spatial-Temporal Video Transformer for Deepfake Detection
inferredcites →https://doi.org/10.1145/3474085.3475332openalex-snapshot
Video Transformer for Deepfake Detection with Incremental Learning
inferredcites →https://doi.org/10.1145/3474085.3475508openalex-snapshot
Spatiotemporal Inconsistency Learning for DeepFake Video Detection
inferredcites →https://doi.org/10.1609/aaai.v36i2.20130openalex-snapshot
Dual Contrastive Learning for General Face Forgery Detection
inferredcites →https://doi.org/10.3390/app12062953openalex-snapshot
DFDT: An End-to-End DeepFake Detection Framework Using Vision Transformer
inferredcites →https://doi.org/10.48550/arxiv.1910.12467openalex-snapshot
Use of a Capsule Network to Detect Fake Images and Videos
inferredcites →https://doi.org/10.48550/arxiv.1912.13457openalex-snapshot
FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping
inferredcites →https://doi.org/10.48550/arxiv.2105.04714openalex-snapshot
Sample and Computation Redistribution for Efficient Face Detection
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-95-9514-3_20openalex-snapshot
Cross-Sample Inconsistency-Based Video Forgery Detection Using Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1007/s00138-026-01809-wopenalex-snapshot
Cross-dataset video deepfake detection using Transformer and CNN architectures
inferred← citeshttps://doi.org/10.1109/aimlcps68702.2026.11542454openalex-snapshot
Vision Transformer-Based Deepfake Detection: A Comprehensive Approach for Identifying Manipulated Video Content
inferred← citeshttps://doi.org/10.1109/icbdml68582.2026.11544685openalex-snapshot
Optimizing Deepfake Detection Transformer on FaceForensics++: A Hyperparameter Grid Search Study
inferred← citeshttps://doi.org/10.1109/icipcn67432.2026.11438643openalex-snapshot
DEEPSHIELD: Vision Transformer based Deepfake Image Detection Model
inferred← citeshttps://doi.org/10.1109/icirca69024.2026.11570463openalex-snapshot
A Unified CNN–Transformer–based Multi-Modal Framework for Deepfake and AI-Generated Social Engineering Attack Detection
inferred← citeshttps://doi.org/10.1109/iciss67859.2026.11453538openalex-snapshot
A Spatial-Temporal Learning Framework for Robust Deepfake Video Detection
inferred← citeshttps://doi.org/10.1109/icitiit68860.2026.11499629openalex-snapshot
Exploring Facial Feature Extraction and Temporal Dynamics for Deepfake Video Detection: A CNN-RNN Study on Faceforensics++
inferred← citeshttps://doi.org/10.1109/icoict66265.2025.11192953openalex-snapshot
Swin-BiLSTM with Attention for Face Swap Detection in Deepfake Videos
inferred← citeshttps://doi.org/10.1109/ietacs68750.2025.11385353openalex-snapshot
DeepFake Analysis : A Review of Recent Studies, Detection Methods and Trends in Deepfake Detection
inferred← citeshttps://doi.org/10.1109/raai67517.2025.11423383openalex-snapshot
Deepfake Video Detection Using Swin Transformer and LSTM: A Hybrid Approach for Facial Feature Analysis
inferred← citeshttps://doi.org/10.1134/s0005117925601587openalex-snapshot
Transdefend-VC: A Transformer-Driven Deepfake Defense Mechanism for Secure Video Conferencing
inferred← citeshttps://doi.org/10.1145/3805622.3810626openalex-snapshot
TR-GLP: A Two-Stage Framework with Temporal Reprogramming and Residual Graph Label Propagation for Short Video Fake News Detection
inferred← citeshttps://doi.org/10.21203/rs.3.rs-9617329/v1openalex-snapshot
Deepfake Image Detection Using Transfer Learning Techniques
inferred← citeshttps://doi.org/10.3390/electronics13214160openalex-snapshot
PBNet: Combining Transformer and CNN in Passport Background Texture Printing Image Classification
inferred← citeshttps://doi.org/10.3390/electronics13224466openalex-snapshot
LIDeepDet: Deepfake Detection via Image Decomposition and Advanced Lighting Information Analysis
inferred← citeshttps://doi.org/10.3390/electronics13244955openalex-snapshot
A Novel Face Swapping Detection Scheme Using the Pseudo Zernike Transform Based Robust Watermarking
inferred← citeshttps://doi.org/10.3390/electronics14102040openalex-snapshot
Deepfake Voice Detection: An Approach Using End-to-End Transformer with Acoustic Feature Fusion by Cross-Attention
inferred← citeshttps://doi.org/10.3390/math13071117openalex-snapshot
MSTransBTS—A Novel Integration of Mamba with Swin Transformer for 3D Brain Tumour Segmentation
inferred← citeshttps://doi.org/10.34133/icomputing.0143openalex-snapshot
Understanding Video Transformers: A Review on Key Strategies for Feature Learning and Performance Optimization
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