Divide and Conquer: Multimodal Video Deepfake Detection via Cross-Modal Fusion and Localization
Deepfake Lab
7 February 03, 2026

Divide and Conquer: Multimodal Video Deepfake Detection via Cross-Modal Fusion and Localization

Evidence Level
2/5

How much verified proof exists for this claim

One strong evidence source: arxiv

Mystery Factor
2/5

How intriguing or unexplained this claim is

The claim involves emerging technology in deepfake detection with some uncertainties about its effectiveness and implementation, but it is grounded in a specific framework and challenge, suggesting a developing narrative rather than a highly speculative mystery.

This paper presents a system for detecting fake audio-visual content (i.e., video deepfake), developed for Track 2 of the DDL Challenge. The proposed system employs a two-stage framework, comprising unimodal detection and multimodal score fusion. Specifically, it incorporates an audio deepfake detection module and an audio localization module to analyze and pinpoint manipulated segments in the audio stream. In parallel, an image-based deepfake detection and localization module is employed to ...

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