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RoMod: Temporal Routing Modulation via Mixture-of-Experts for Video Anomaly Detection
Intermediate-layer features from multimodal large language models have shown strong potential for video anomaly detection (VAD), yet the origin of their discriminative power remains unclear. We study this question using sparse mixture-of-experts (MoE) models, whose explicit expert structure and spar
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