MG-RWKV combines bidirectional RWKV, multi-granularity mixture of experts, and cross-granularity consistency to achieve state-of-the-art temporal forgery localization with linear complexity.
Hear me out: Fusional approaches for audio augmented temporal action localization,
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LoCC detects and localizes lip-syncing deepfakes at frame and segment levels by measuring inconsistencies between each frame and a counterfactual estimate from temporal neighbors via teacher-student learning, outperforming prior methods on multiple datasets.
citing papers explorer
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MG-RWKV: Multi-Grained Context-Aware RWKV for Temporal Forgery Localization
MG-RWKV combines bidirectional RWKV, multi-granularity mixture of experts, and cross-granularity consistency to achieve state-of-the-art temporal forgery localization with linear complexity.
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LoCC: Detection and Localization of Lip-Syncing Deepfakes via Counterfactual Frame Consistency
LoCC detects and localizes lip-syncing deepfakes at frame and segment levels by measuring inconsistencies between each frame and a counterfactual estimate from temporal neighbors via teacher-student learning, outperforming prior methods on multiple datasets.