DCA measures intra-sample representational consistency in frozen vision models by checking per-dimension coactivation across regions, achieving 0.91-0.93 AUC in deepfake detection with DINOv3 features.
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Dimensional Coactivation for Representational Consistency in Frozen Vision Foundation Models
DCA measures intra-sample representational consistency in frozen vision models by checking per-dimension coactivation across regions, achieving 0.91-0.93 AUC in deepfake detection with DINOv3 features.