Image de couverture de livre

DepthFake: a depth-based strategy for detecting Deepfake videos

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Maiano, Luca, Papa, Lorenzo, Vocaj, Ketbjano, Amerini, Irene
Format:	Preprint
Publié:	2022
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

VidCLearn: A Continual Learning Approach for Text-to-Video Generation
par: Zanchetta, Luca, et autres
Publié: (2025)

Enhancing Abnormality Identification: Robust Out-of-Distribution Strategies for Deepfake Detection
par: Maiano, Luca, et autres
Publié: (2025)

Continuous fake media detection: adapting deepfake detectors to new generative techniques
par: Tassone, Francesco, et autres
Publié: (2024)

Z-SASLM: Zero-Shot Style-Aligned SLI Blending Latent Manipulation
par: Borgi, Alessio, et autres
Publié: (2025)

Enhancing Ground-to-Aerial Image Matching for Visual Misinformation Detection Using Semantic Segmentation
par: Mule, Emanuele, et autres
Publié: (2025)

Shedding Light on Depth: Explainability Assessment in Monocular Depth Estimation
par: Cirillo, Lorenzo, et autres
Publié: (2025)

A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking
par: Papa, Lorenzo, et autres
Publié: (2023)

Diffusion Models for Earth Observation Use-cases: from cloud removal to urban change detection
par: Sanguigni, Fulvio, et autres
Publié: (2023)

METER: a mobile vision transformer architecture for monocular depth estimation
par: Papa, L., et autres
Publié: (2024)

D4D: An RGBD diffusion model to boost monocular depth estimation
par: Papa, L., et autres
Publié: (2024)

On the impact of key design aspects in simulated Hybrid Quantum Neural Networks for Earth Observation
par: Papa, Lorenzo, et autres
Publié: (2024)

Learning from Unlabelled Data with Transformers: Domain Adaptation for Semantic Segmentation of High Resolution Aerial Images
par: Dionelis, Nikolaos, et autres
Publié: (2024)

A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching
par: Pro, Francesco, et autres
Publié: (2024)

Deepfake detection by exploiting surface anomalies: the SurFake approach
par: Ciamarra, Andrea, et autres
Publié: (2023)

LADLE-MM: Limited Annotation based Detector with Learned Ensembles for Multimodal Misinformation
par: Cardullo, Daniele, et autres
Publié: (2025)

Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It
par: Siciliano, Federico, et autres
Publié: (2023)

De-Fake: Style based Anomaly Deepfake Detection
par: Padhi, Sudev Kumar, et autres
Publié: (2025)

Study of detecting behavioral signatures within DeepFake videos
par: Miao, Qiaomu, et autres
Publié: (2022)

DiffFake: Exposing Deepfakes using Differential Anomaly Detection
par: Stamnas, Sotirios, et autres
Publié: (2025)

Deepfake detection in videos with multiple faces using geometric-fakeness features
par: Vyshegorodtsev, Kirill, et autres
Publié: (2024)

Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection
par: Li, Tianxiao, et autres
Publié: (2026)

Fact or Fake? Assessing the Role of Deepfake Detectors in Multimodal Misinformation Detection
par: Sagar, A S M Sharifuzzaman, et autres
Publié: (2026)

FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake Detection
par: Nguyen, Dat, et autres
Publié: (2024)

Deepfake Media Forensics: State of the Art and Challenges Ahead
par: Amerini, Irene, et autres
Publié: (2024)

DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion
par: Sun, Ke, et autres
Publié: (2024)

STLight: a Fully Convolutional Approach for Efficient Predictive Learning by Spatio-Temporal joint Processing
par: Alfarano, Andrea, et autres
Publié: (2024)

AnyDepth-DETR/-YOLO: Any-depth object detection with a single network
par: Kang, Woochul, et autres
Publié: (2026)

FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection
par: Knafo, Gil, et autres
Publié: (2022)

Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection
par: Lin, Yuzhen, et autres
Publié: (2024)

FakeChain: Exposing Shallow Cues in Multi-Step Deepfake Detection
par: Heo, Minji, et autres
Publié: (2025)

FakeRadar: Probing Forgery Outliers to Detect Unknown Deepfake Videos
par: Li, Zhaolun, et autres
Publié: (2025)

PREGO: online mistake detection in PRocedural EGOcentric videos
par: Flaborea, Alessandro, et autres
Publié: (2024)

DeFakeQ: Enabling Real-Time Deepfake Detection on Edge Devices via Adaptive Bidirectional Quantization
par: Li, Xiangyu, et autres
Publié: (2026)

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection
par: Shekar, Pavan C, et autres
Publié: (2025)

CapsFake: A Multimodal Capsule Network for Detecting Instruction-Guided Deepfakes
par: Nguyen, Tuan, et autres
Publié: (2025)

Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations
par: Gupta, Parul, et autres
Publié: (2025)

R3ST: A Synthetic 3D Dataset With Realistic Trajectories
par: Teglia, Simone, et autres
Publié: (2025)

Real time anomalies detection on video
par: Poirier, Fabien
Publié: (2024)

A Review of Deep Learning-based Approaches for Deepfake Content Detection
par: Passos, Leandro A., et autres
Publié: (2022)

Generalized Design Choices for Deepfake Detectors
par: Pellegrini, Lorenzo, et autres
Publié: (2025)