Springer Nature OA
open access
CC BY 4.0
Robust deepfake video detection using spatio-temporal features and dynamic difference learning
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
- Robust deepfake video detection using spatio-temporal features and dynamic difference learning.#258110
- Preserving Knowledge across Space and Time for Continual Video Deepfake Detection#926366
- Spatiotemporal deep learning for real-time video-based deepfake detection using 3DCNN, 3DResNet, TCN, and VAE.#275728
- StreamOPD: A Post-Training Recipe with Spatio-Temporal Cue Gating for Streaming Video Understanding#620720
- StreamOPD: A Post-Training Recipe with Spatio-Temporal Cue Gating for Streaming Video Understanding#619041
Record · ID 252041
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