STORRE
metadata only
CC BY 4.0
Beyond Frame‐Level Accuracy: Analyzing Video‐Level Stability in Transformer‐Based Deepfake Forensics
Deepfake videos generated by advanced generative models pose serious threats to digital security, misinformation control, and media forensics. Although numerous detection methods have been proposed, their reported performances are often based on heterogeneous preprocessing pipelines, inconsistent da
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- CMFDFormer: Transformer-based Copy-Move Forgery Detection with Continual Learning#1399671
- ModalFidelity: Routing Modalities for Deepfake Detection on a Budget#1142847
- Identity-Driven Multimedia Forgery Detection via Reference Assistance#793372
- Identity-Driven Multimedia Forgery Detection via Reference Assistance#789368
- Preserving Knowledge across Space and Time for Continual Video Deepfake Detection#926366
Record · ID 1428305
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive